Jobs in Mauritius
Senior Data Engineer (Analytics | Remote) (Maurice)
🧬 About Us We’re iubenda, the team turning compliance into a growth engine. We help over 110K businesses all around the world build trust, boost performance, and grow without limits. Now part of team.blue ( https://team.blue/ ) , we’re scaling privacy tech with confidence, creativity, and a little bit of attitude. Join a team that moves fast, thinks big, and makes privacy feel exciting again! The proposed salary range (the final offer will be based on experience and seniority) is €26,500 – €40,000 gross annual total compensation , plus benefits (as listed in the relevant section below). 🎯 Mission & Core Purpose We’re looking for an experienced Senior Data Engineer to own the design and build of iubenda’s data infrastructure from the ground up. You will be the founding force behind a comprehensive Data Warehouse solution, turning raw data streams from our product, marketing, and business operations into clean, reliable, and insightful data assets. Reporting to the Director of Platform Engineering , you will partner with Marketing, Product, and Growth teams to build scalable analytics foundations that power data-driven decisions across the entire company. 💼 Key Responsibilities - Architecting and building iubenda’s Data Warehouse from scratch - defining the overall data architecture, modeling conventions, governance standards, and a scalable technical stack that can grow with the company. - Designing and implementing end-to-end data pipelines (dbt) that ingest, transform, and serve raw event logs, product data, and third-party sources as canonical, reliable datasets. - Owning the Marketing Analytics data engineering domain : owning the data pipelines and configuration of backend and frontend SDKs and middleware elements that lead data to advertising platforms and iubenda data warehouse, enabling the measurement of campaign performance, attribution, funnel conversion, and A/B testing. - Building foundational data infrastructure that empowers Data and Revenue Analysts from Finance, Marketing, Product, and Sales teams to independently build dashboards, explore data, and make informed decisions utilizing tools like PowerBI. - Establishing high data integrity standards, SLAs, alerting mechanisms, and documentation practices to ensure timely, accurate, and trustworthy data delivery across all consumers. - Defining and executing the strategic roadmap for data foundations and analytics capabilities, translating stakeholder needs into prioritised technical requirements, and serving as the internal technical thought leader for data modeling, ETL processes, and the modern data stack. - Partnering with Engineering and Product to understand how users interact with iubenda’s products, instrumenting data pipelines correctly from the source, and transforming event logs into insightful data marts. - Becoming the internal expert on iubenda’s data architecture - owning the full lifecycle from data instrumentation to production-ready, reporting-grade datasets compatible with existing finance and group-level data schemas. 👤 Your Profile You have experience in scale-up environments (SaaS experience is a plus) and a proven track record of building data infrastructure from an early stage. You combine deep technical data engineering skills with a strong ability to understand business needs - especially across Marketing, Finance, and Product. You take ownership, move fast, and don’t let perfect be the enemy of effective. 💡 Experience & Skills • 6+ years of experience as a Data Engineer or in a similar role, preferably in a SaaS scale-up, and strong exposure to Analytics needs from stakeholders. • Deep expertise in SQL and Python for transforming raw data into clean, accurate, and performant data models. • Proven track record of architecting and building a Data Warehouse or analytics infrastructure from scratch, including data modeling standards, governance frameworks, and the definition of a modern data stack. • Strong expertise in Marketing Analytics is required. Topics like hands-on integration with marketing platforms (Google Ads, Meta, HubSpot, Salesforce, or similar) are important, while attribution modeling, funnel analysis, and campaign performance are a plus. • Proficiency in dbt for building and managing multi-layer data transformations (staging, intermediate, and mart layers), including testing and documentation. • Experience with workflow orchestration tools such as Airflow or equivalent platforms. • Hands-on experience with modern cloud data warehouses: e.g., Snowflake, BigQuery, or Redshift. • Experience enabling the construction of insightful dashboards and self-serve reporting in visualization platforms such as PowerBI, Tableau, or similar for Data Analyst partners. • Ability to define and execute a strategic roadmap for data foundations - setting technical priorities, establishing data governance, and driving best practices across the organisation. • A “full-stack mindset”: not hesitating to do what it takes to solve a problem end-to-end, even if it goes outside the original scope. • A strong bias for action and the ability to thrive in ambiguity, taking initiative to create clarity and forward progress. • Excellent written and verbal communication skills in English, with the ability to translate complex technical concepts for non-technical stakeholders. 🌐 Location At iubenda we believe in remote-first work. While you can work from anywhere in Mauritius, we encourage regular in-person collaboration at our Port Louis office, typically once per week. This role involves working with the team on CET hours, meaning your schedule will align with this time zone to ensure smooth collaboration. 🎁 Benefits • Healthy work-life balance 🌴 We offer a remote-first employment agreement with a 40-hour workweek, 22 paid days off (increasing to 25 from the second year), plus national holidays, all to help you thrive both professionally and personally. • Company retreats 🏔️ Once a year, we hold fully paid, week-long retreats in beautiful locations such as Venice, Athens, and Palermo, where we work, connect, and recharge together. • All-in-One flex budget 💳 A yearly sum of up to 1.000€ that you can tailor to your personal needs, whether it’s private health coverage, meal vouchers, childcare, learning, fitness, or other lifestyle choices. You can invest in what matters most to you (total amount, availability of specific services, payment method, and taxability may vary depending on local regulations). • Work equipment supply scheme 💻 A policy designed to help you create the perfect setup and perform at your best. • Collaborative, multicultural team 🧩 Join a team of talented, international colleagues in a friendly, open, and highly collaborative environment. Please send your CV in English. Want to know more about iubenda? Check us out at: iubenda.com | LinkedIn | Facebook | Twitter Privacy By applying, you hereby declare that you have read and understood our privacy policy (https://www.iubenda.com/privacy-policy/96274994). To ensure a fair selection process and verify your identity, we may ask you during video interviews to disable virtual backgrounds or filters, show an ID, or answer follow-up questions. If you need an alternative arrangement, please let us know, and we will accommodate.
Senior Specialist, Data Analytics
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless. At Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction. What You Will Be Doing • Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time. • Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation • Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth. • Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows. • Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam About You • Data-Driven Problem Solver: You have 4-6 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment. • Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree. • Technical Chops: You possess strong, practical exposure to BigQuery (SQL) for extracting and manipulating large datasets, alongside experience building visualizations in Looker. • Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling. • Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie. • Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
Associate, Data Analytics
Company Description We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless. At Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction. What You Will Be Doing • Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time. • Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation • Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth. • Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows. • Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam About You • Data-Driven Problem Solver: You have 2–4 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment. • Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree. • Technical Chops: You possess strong, practical exposure to BigQuery (SQL) for extracting and manipulating large datasets, alongside experience building visualizations in Looker. • Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling. • Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie. • Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
Data Analyst (Power BI)
Poste et missions : Vous intégrez des équipes internationales et sous la supervision d'un Chef de projet, vous participez à toutes les phases de mise en oeuvre d’une application décisionnelle : • Recueil et analyse de besoins clients • Spécifications fonctionnelles et techniques • Conception, développement et tests (intégration de données, reporting et analytics) • Documentation technique • Maintenance corrective et évolutive • Support et formation utilisateurs Profil : • 3 ans d’expérience minimum en développement de solutions BI • Bonne maitrise de Power BI • Une connaissance pratique d’un outil ETL est un plus • Excellente communication en Français. Avantages : • Salaire très intéressant • Bénéfices divers (primes, referral programme, etc.) • Assurance médicale • Plan de retraite privé • Mode de travail hybride • Flexibilité horaire • Ambiance conviviale (séjours hôtel, happy hour, team events, etc.)
DATA ANALYST – QUANTS SPECIALIST
Reve Partners has a client with investment operations in Mauritius, looking to employ a Quants Specialist. We are searching for candidates with the following: General • University graduate (within the last 2-3 years). • An understanding of financial markets with a statistical background (engineering, maths). • Independent and proactive. • Open lines of communication at all times and a team player. • Ability to work across time zones and with a related South African business. • Abreast of markets and global innovation particularly in AI. Qualifications Minimum B Comm. Candidates that have business science, engineering or mathematics degrees will be considered. Ideally candidates have pre-existing experience in finance. Candidates must be passionate about markets and the quants aspects thereof. An appreciation of both risk and reward is essential. Experience • Have built their own models / frameworks using machine learning / data analytics. If they could please demonstrate these in the interview. • Strong experience utilising AI, including use of Python, Excel (advanced Excel skills a non-negotiable). Job Specifications • Full time. • Candidate will need to drive their own paid training requirements and motivate these to management (at the company’s expense, provided they pass). • The existing system includes a series of Excel based asset management tools. The candidate will be expected to evolve, refine and automate the tools for use internally and potentially externally as well. Role Looking for the employee to fulfil two roles: Primary (non-negotiable): Ø Fully appreciate and improve upon the existing system which is built on Excel; Ø Run statistical regressions, scenario analysis, monte carlo, etc. to ascertain the accuracy of the system and where it can be enhanced. Secondary Ø To explore (at a later stage) integration of AI into the system to enable machine learning and other promising innovations. It is preferable for the candidate to show a keen interest in these fields. Interested applicants should submit a CV of not more than three pages and a brief motivation as to why you believe that you are the right candidate to join our client’s business to: info@reve.partners on or before 15 August 2026.
Data Analyst
Who We Are We think too much marketing isn’t us. It’s mass markets not audiences of one. Homogenous groups to be targeted, not individuals to be inspired. Segments to reach, not people with their own ideas and ambitions. It’s one size fits all and it’s dull. When it comes to individuals, we’re fierce. We stand up for individuality. We speak up against bland, broad-brush generalizations. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations. And we commit to doing this in every aspect of our work for clients and their consumers. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s well-being. We are Fiercely Individual. How We Do It At RAPP we are fiercely focused on the individual and how we can create value from every individual’s experience with a brand. We do this across three capability areas: customer centric consulting, creativity that inspires action and customer experience management. Our data analysts know who that person is. Our strategists understand what they want. And our award-winning Technologists and Creatives know how to get it to them. RAPP is an integral part of Omnicom’s Precision Marketing Group, comprising 4,000 creatives, technologists, strategists, and data and marketing scientists across 40 global markets. Main Responsibilities / Duties • Collecting and interpreting data • Analyzing results of ongoing digital campaigns • Interpret data, analyze results using statistical techniques and provide ongoing reports. • Providing technical expertise on data storage structures, data mining, and data cleansing. • Reporting the results back to the relevant members of the business • Identifying patterns and trends in data sets • Working alongside teams within the business or the management team to establish business needs • Acquire data from primary or secondary data sources. • Defining new data collection and analysis processes • Use data to answer key questions about the business. • Be the go-to person for any ad-hoc data-related questions. • Use statistical and econometric techniques on large datasets to measure results and show key trends • Identify causal impact and attribution • Analyze experiments • Model and predict future performance of users or products • Assist teammates using the data: assemble analysis, predictions, visualizations, queries, and dashboards. • Create meaningful visualizations that communicate your insights and findings, and drive business goals. Requirements / Qualifications ACADEMIC BACKGROUND • Degree in Statistics, Applied Mathematics, Computer Science or any quantitative field Required Experience • Experience involving quantitative data analysis to solve problems. • Experience with common analytical tools such as R, SPSS, Weka, NumPy, MatLab, etc. Experience in data models and reporting packages. Proficient in Excel • Knowledge of web analytics tools such as Google Analytics and Adobe Analytics are highly desirable.. • Tools such as Power BI, D3.js, GGplot, Tableau, Pardot
A place to build useful ways of working with artificial intelligence.
A teaching approach aimed at usage, not knowledge.
Analytics Lead
WHO WE ARE: We think too much marketing isn’t us. It’s mass markets, not audiences of one. Homogenous groups are to be targeted, not individuals to be inspired. Segments to reach, not people with their own ideas and ambitions. It’s one size fits all, and it’s dull. When it comes to individuals, we’re fierce. We stand up for individuality. We speak up against bland, broad-brush generalizations. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations. And we commit to doing this in every aspect of our work for clients and their consumers. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly, we value every individual’s well-being. We are Fiercely Individual. HOW WE DO IT: At RAPP, we are fiercely focused on the individual and how we can create value from every individual’s experience with a brand. We do this across three capability areas: customer-centric consulting, creativity that inspires action and customer experience management. Our data analysts know who that person is. Our strategists understand what they want. And our award-winning technologists and creatives know how to get it to them. RAPP is an integral part of Omnicom’s Precision Marketing Group, comprising 4,000 creatives, technologists, strategists, and data and marketing scientists across 40 global markets. YOUR ROLE: The Analytics Lead reports to the Technical Director and the Project Manager he/she is currently working with. He/She works closely with other data analysts, developers, marketing teams and project managers to understand and address the data needs of the business. He/She should be able to work independently with little supervision. He/She is expected to guide data analysts in their day to day work as well as planning/follow-up of their continuous learning path. An excellent data driven mindset coupled with excellent presentation techniques are expected as core skills. MAIN RESPONSIBILITIES / DUTIES: · Expertise, guidance, and consultancy to both internal teams and external partners. · Planning and follow up of data analyst activities on a day to day basis. · Provides support to the team to remove impediments to make sure that the project is not blocked. · Define and maintain technical documentation pertaining to the data analytics scope of a project. · Define and maintain data analytics strategy based on industry standards. · Define and plan training activities for data analysts for ramping up or staying up to date on data related subjects (statistics, tracking, visualization, analysis and reporting). · Accountable for the correct tracking of all digital assets under the remit of the data team. · Be the go-to person for any ad-hoc data-related questions. · Responsible of proper execution of duties of all data analysts. · Must remain hands on with execution as per data analyst duties. REQUIREMENTS / QUALIFICATIONS ACADEMIC BACKGROUND · Degree in Statistics, Applied Mathematics, Computer Science or any quantitative field REQUIRED EXPERIENCE · 4-5 years work experience in data related field. · Experience involving quantitative data analysis to solve problems. · Experience with common analytical tools such as R, SPSS, Weka, NumPy, MatLab, etc. Experience in data models and reporting packages. Proficient in Excel and Powerpoint. · Knowledge of web analytics tools such as Google Analytics and Adobe Analytics are highly desirable. · Tools such as Power BI, D3.js, GGplot, Tableau, etc. LANGUAGES · French and English Proficiency. SKILLS / COMPETENCIES Communicates effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. o Attentively listens to others. o Adjusts to fit the audience and the message. o Provides timely and helpful information to others across the organization. o Encourages the open expression of diverse ideas and opinions. Tech savvy: Anticipating and adopting innovations in business-building digital and technology applications. o Anticipates the impact of emerging technologies and makes adjustments. o Scans the environment for new technical skills, knowledge, or capabilities that can benefit business or personal performance. o Readily learns and adopts new technologies. Self-development: Actively seeking new ways to grow and be challenged using both formal and informal development channels. Forms teams with appropriate and diverse mix of styles, perspectives, and experience. o Shows personal commitment and takes action to continuously improve. o Accepts assignments that broaden capabilities. o Learns from new experiences, from others, and from structured learning. Manages complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems. o Asks the right questions to accurately analyze situations. o Acquires data from multiple and diverse sources when solving problems. o Uncovers root causes to difficult problems. Strategic mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies. o Anticipates future trends and implications accurately. o Readily poses future scenarios. o Creates competitive and breakthrough strategies that show a clear connection between vision and action. Builds effective teams: Using compelling arguments to gain the support and commitment of others. o Forms teams with appropriate and diverse mix of styles, perspectives, and experience. o Establishes common objectives and a shared mindset. o Creates a feeling of belonging and strong team morale. o Fosters open dialogue and collaboration among the team. NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization
Data Analyst
Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in over 120 countries. Duties are as follows: • Data Synthesis: Extract and analyze data from various engineering systems to identify trends in Manufacturing or Quality domains. • Visualization: Develop automated dashboards and reports using tools like Power BI, QlikSense, or Looker Studio. • Decision Support: Transform raw data into high-impact PowerPoint presentations for executive-level decision-making. Qualifications & Skills Educational Background: • Engineering: Degree in Aerospace, Mechanical, Industrial, or Manufacturing Engineering. • IT & Systems: Degree in Information Systems, Computer Science, or Business Informatics. • Business & Management: Degree in Project Management, Supply Chain, or Quality Management. Technical Toolkit: • Proficiency: MS Office (Excel/PowerPoint) and Google Workspace (Sheets/Slides). • Programming & Automation (Highly Desired): Experience with SQL, Python, VBA, AppScript, or TypeScript to automate repetitive tasks. • Business Intelligence: Exposure to Power BI, QlikSense, or Looker Studio. • Systems: Familiarity with ERP systems (SAP preferred) or MS Access for database management. Languages & Soft Skills: • Bilingual: Professional fluency in English and French (written and verbal). • Adaptability: Ability to pivot tasks week-to-week based on shifting project priorities. • Precision: High attention to detail with a focus on accuracy in reporting. Work Schedule: Morning shift (8:00 AM - 5:00 PM) OR CET Shift (10:30 AM – 7:00 PM /11:30 AM - 8:00 PM)
Data Analyst
About the Role Stevenhills Ltd is seeking a talented and proactive Data Analyst to join our Process Improvement & Digitalization Department. The successful candidate will play a key role in driving data-driven decision making, business process improvement, and digital transformation initiatives across the organization. Working closely with multiple departments, the Data Analyst will help identify opportunities to increase efficiency, improve performance, and support strategic business decisions through meaningful data analysis and insights. Key Responsibilities • Collect, analyze and interpret data from multiple sources. • Develop reports, dashboards and data visualizations to support business decisions. • Identify trends, patterns and opportunities for operational improvements. • Support departments in process improvement initiatives to increase revenue and reduce costs. • Compile and validate data from databases, spreadsheets and reporting systems. • Deliver analytical insights and recommendations to stakeholders. • Maintain data quality, integrity and confidentiality. • Assist with digitalization and automation initiatives across the business. • Support in-house software development and reporting projects. • Train and guide colleagues in data analysis and process improvement techniques. • Conduct quality checks and audits on reports and analysis. Requirements Education • Degree in Data Analytics, Statistics, Computer Science, Business Analytics, Information Systems, Mathematics or a related discipline. Experience • Minimum 2-3 years of experience in Data Analytics, Business Intelligence, Reporting, or Process Improvement. Technical Skills • Advanced Excel • Power BI (preferred) • SQL • Data visualization and dashboard development • Data cleansing and validation • Process mapping and process improvement methodologies • AI adoption
Databricks Data Analyst
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Role Summary We are looking for a Databricks Data Analyst with strong Power BI skills to support data-driven business initiatives by transforming business needs into reliable datasets, dashboards, reports, and analytical insights. The candidate will work closely with business stakeholders, digital teams, data engineers, and product teams to understand requirements, explore data, define data needs, build transformations, and create high-quality Power BI dashboards using data from cloud and Databricks-based environments. The ideal candidate combines strong analytical skills, hands-on experience with Databricks, Power BI, Power Query, and a good understanding of modern cloud data platforms, especially in a Microsoft Azure environment. Key Responsibilities: • Work with business stakeholders to understand, clarify, and formalize reporting, analytics, and data requirements. • Explore data from technical and functional perspectives to identify useful insights, quality gaps, and transformation needs. • Use Databricks to access, analyze, prepare, and transform datasets for reporting and analytical use cases. • Build, maintain, and optimize Power BI dashboards, reports, semantic models, and visualizations. • Develop Power Query transformations and support data preparation activities for BI solutions. • Define required data objects, attributes, data quality rules, and functional mapping between source data and reporting outputs. • Support conceptual and technical data modeling for BI and analytics use cases. • Contribute to backlog definition, prioritization, and delivery tracking in Agile/product mode. • Collaborate with data engineers, business analysts, product owners, and technical teams to deliver end-to-end BI solutions. • Participate in testing, validation, user acceptance, documentation, and move-to-run activities. • Prepare technical and functional documentation, including data models, report specifications, and dashboard guides. • Provide technical assistance to project teams and business users. • Ensure BI solutions are reliable, well-documented, scalable, and aligned with governance and quality standards. Preferred Skills • Experience with Databricks SQL, SQL analytics, notebooks, or lakehouse environments. • Knowledge of Azure Data Lake, Azure Data Factory, or other Azure data services. • Experience with Power Platform, especially Power Apps. • Exposure to Python or PySpark for data analysis is a plus. • Experience with data governance, GDPR, documentation standards, and move-to-run processes. • Experience delivering BI solutions from initial business need through production deployment. • Proficiency in French is desirable. Experience/Required Skills: • Minimum 4-5 years of experience as a Data Analyst, BI Analyst, Analytics Consultant, or similar role. • Hands-on experience with Databricks for data exploration, preparation, analysis, or transformation. • Strong experience with Power BI, including dashboard development, data modeling, report design, and publishing. • Good knowledge of Power Query and data transformation techniques. • Strong understanding of data analysis, data profiling, and data quality concepts. • Ability to define business requirements and translate them into technical data and reporting specifications. • Experience working with cloud data environments, preferably Microsoft Azure. • Good understanding of BI project lifecycle, including requirements, design, development, testing, deployment, and support. • Experience with Agile delivery, backlog management, and tools such as Jira. • Strong communication skills with the ability to interact with both business and technical stakeholders. • Good written and spoken English. Benefits: • Competitive salary and benefits package. • Opportunities for continuous learning and professional growth. • A collaborative and inclusive work environment. • Exposure to cutting-edge technologies and innovative projects. • Supportive leadership and career development programs. Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law.
Data Analyst Officer MU
About Customs Support Group Customs Support Group (CSG) is the European market leader in customs services, operating across 14 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience, all aimed at driving growth and enhancing efficiency. Key Responsibilities Data Collection and Management: • Source, organize, and manage information from multiple systems and databases. • Ensure the accuracy, completeness, and integrity of data stored in structured repositories. • Integration with GPT Systems: • Input and refine data within advanced Generative Pre-trained Transformer (GPT) systems. • Assist in the training of GPT models by optimizing data inputs to enhance system outputs. Analysis And Reporting • Conduct preliminary data analysis to identify patterns and actionable insights. • Prepare comprehensive reports and visualizations to support business decisions. Quality Assurance • Monitor data consistency and compliance with organizational and regulatory standards. • Identify and rectify discrepancies in datasets. Collaboration And Communication • Partner with technical and compliance teams to understand project requirements. • Provide timely updates and insights to internal stakeholders. Qualifications And Skills • Bachelor’s degree in data science, Information Technology, Business Administration, or a related discipline. • Familiarity with data management and analytics tools. • Experience with AI or GPT systems is a plus (training will be provided). • Prior experience in a field requiring strong attention to detail is an advantage. • Experience in handling and validating critical or sensitive data. • Strong analytical and organizational skills. • Proactive problem-solving and adaptability to new technologies. • Effective communication and teamwork skills. • Fluency in English (written and spoken). What We Offer • A competitive monthly salary • A highly competitive performance-based bonus scheme • Health insurance coverage offered • We provide a laptop, monitors, and other hardwares to support your work • A stimulating international environment • Hands-on training and support from experienced consultants • We offer flexible working hours and value a healthy work-life balance.
Data Analyst - EY RDS
Description of Role: Our national practice assists clients both locally and internationally in providing ERP data analytics and information management services. Key Responsibilities: • Perform data reconciliation procedures to confirm completeness of data extract. • Support the assessment of the data including data validation and profiling. • Prepare programming logic to test identified data analysis business rules, by coding SQL Server and Alteryx. • Verify results against given specifications. • Prepare results for review process and update scripts accordingly. • Visualisation of results • Prepare working papers documenting steps followed during data assessment process. • Abide by the project guidelines to manage and secure client data. Qualification/s & Experience: BSC Honours in Computer Science & Engineering/Software Engineering degree with an active interest in programming will be to the advantage of the candidate Candidate must have: • 2 years SQL/Alteryx programming experience or other data analyst experience • Relevant experience in data analysis / query development / data warehousing / data mining / data quality / data migration Skills: • High-level understanding of relational databases. • Able to analyse relationships between data. • Be proficient in Excel, Word, SQL/Alteryx and PowerPoint. Behavioural Attributes: • Logical thinker and problem solver • Exceptional attention to detail required. • Self-starter • Ability to think for one self • Team player • Share E&Y’s values and vision • Disciplined • Able to handle pressure • Willing to work overtime when required • Ability to multitask • Good written and verbal communication skills.
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Databricks Engineer
At Accenture, you'll help leading organizations harness the power of data to solve complex business challenges and accelerate digital transformation. Working on international projects, you'll design and build modern cloud data platforms while collaborating with multidisciplinary teams and leveraging cutting-edge technologies. Overview We are looking for a Data Enginee r with strong expertise in Databrick s and Pytho n to design, build, and optimize scalable data solutions across modern cloud platforms. In this role, you will develop secure, reliable, and high-performance data pipelines that transform data from multiple sources into trusted datasets for analytics, reporting, and AI initiatives. Working closely with Data Analysts, Architects, and Product Teams, you will ensure data is accessible, scalable, and aligned with business needs. Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines using Databric ks and Python • Build data ingestion, transformation, and orchestration workflows from structured and unstructured data sources • Develop cloud-native data solutions using Azure and/or AWS . • Ensure data pipelines are secure, scalable, reliable, and optimized for performance. • Implement monitoring, alerting, logging, and operational support processes • Apply data quality, validation, and consistency controls across data pipelines • Contribute to data modeling and transformation activities to support analytics and business applications. • Produce technical documentation, including architecture diagrams and data flow documentation.Collaborate with Data Analysts, Architects, and Product Teams to deliver end-to-end data solutions. • Participate in Agile ceremonies and contribute to continuous improvement initiatives. Experience & Qualifications • 4+ years of experience in Data Engineering • Strong hands-on experience with Databricks . • Strong programming skills in Python . • Experience designing and developing ETL/ELT pipelines. • Experience with Azure and/or AWS cloud platforms. • Good understanding of modern data architectures and lakehouse concepts. • Experience with data quality, monitoring, and performance optimisation. • Familiarity with Agile delivery methodologies • Strong communication skills in English. French is mandatory Preferred Skills • Experience with one or more of the following: • Azure Data Factory • Azure Data Lake Storage • AWS data services • PySpark • DataOps and CI/CD pipelines • FinOps reporting or cloud cost optimisation • Enterprise data governance and security standards
Data Engineer F/H
Freeland est un groupe international spécialisé dans les solutions dédiées aux talents indépendants et aux entreprises. Présent en Europe et à l’international, le groupe accompagne les organisations dans la gestion, le sourcing et l’intégration de talents externes, tout en développant des solutions innovantes autour du freelancing, de la transformation des organisations et de la gestion des compétences. Dans un contexte de forte croissance, Freeland renforce sa stratégie data afin de fiabiliser, structurer et valoriser ses données au service du pilotage de ses activités, de l’optimisation de ses offres et de la prise de décision. Le Data Engineer est rattaché au Responsable du pôle CRM, Data et IA. Il joue un rôle central dans la conception, la construction et l’évolution de la plateforme data du groupe. Son objectif est de collecter, intégrer, transformer et fiabiliser les données afin de mettre à disposition des équipes des jeux de données robustes, exploitables et sécurisés. Missions principales • Développer les pipelines d’ingestion et de transformation de données dans Microsoft Fabric • Créer des traitements de données en Python via des notebooks • Structurer et fiabiliser les données issues des outils CRM, ERP, comptables et métiers • Construire et faire évoluer les modèles de données et modèles sémantiques pour les usages BI • Mettre à disposition des Data Analysts des datasets propres, documentés et exploitables • Industrialiser les premiers flux existants : performance, monitoring, gestion des erreurs, documentation • Participer aux travaux de qualité de données : contrôles, nettoyage, normalisation, rapprochements • Collaborer avec les équipes Data, IT et métier dans un contexte de construction progressive de la plateforme data Profil recherché • Bac +3 minimum en informatique, data engineering, systèmes d’information ou école d’ingénieur avec spécialisation data • Minimum 4 ans d’expérience sur un poste de Data Engineer, Data Developer ou équivalent • Expérience significative dans le développement de pipelines de données, les traitements de transformation et l’industrialisation de flux • Expérience ou forte appétence pour l’écosystème Microsoft Fabric • Une expérience dans un environnement en structuration ou en construction de plateforme data est un plus Compétences techniques • Très bonne maîtrise de SQL • Bonne maîtrise de Python, notamment pour le développement de traitements de données via notebooks • Expérience dans la mise en œuvre de pipelines d’ingestion et de transformation de données • Connaissance des modèles de données, des modèles sémantiques et des besoins liés à la Business Intelligence • Bonne compréhension des enjeux de qualité de données, fiabilisation, normalisation et rapprochement • Capacité à industrialiser des flux de données : monitoring, gestion des erreurs, documentation, optimisation des performances • Bonne compréhension des architectures data modernes : data warehouse, data lake, lakehouse • Une connaissance de Power BI est un plus • La maîtrise de Git ou d’un outil de versioning est appréciée Outils pouvant être utilisés sur le poste • Microsoft Fabric • Python • SQL • Notebooks • Power BI • Lakehouse • Outils CRM, ERP, comptables et métiers • Git • Outils de monitoring et d’orchestration de flux Qualités personnelles • Autonomie et sens des responsabilités • Rigueur et exigence sur la qualité des données • Esprit analytique et capacité de structuration • Capacité à évoluer dans un environnement en construction • Bon relationnel avec des interlocuteurs techniques et métiers • Esprit d’équipe et sens du service Indicateurs de performance • Fiabilité et qualité des datasets mis à disposition • Performance et stabilité des pipelines développés • Niveau d’industrialisation et de documentation des flux • Réduction des anomalies et amélioration de la qualité des données • Adéquation des modèles de données avec les besoins BI et analytiques • Capacité à accompagner efficacement les Data Analysts et les métiers Informations pratiques • Localisation : Beau Plan, Pamplemousses • Horaires : • Lundi à jeudi : 10h – 19h • Vendredi : 9h – 18h • Télétravail : 1 jour par semaine (mercredi) après 3 mois d’ancienneté • Mobilité : Idéalement véhiculé(e) • Navette du soir disponible : • Grand Baie – Cap Malheureux – Bain Bœuf – Goodlands (Terminus) • Beau Plan – Port-Louis (Terminus) • Date de prise de poste : dès que possible (préavis accepté) • Salaire : 50K – 60K fixe + variable
Data Analyst
WHO WE ARE: We think too much marketing isn’t us. It’s mass markets not audiences of one. Homogenous groups to be targeted, not individuals to be inspired. Segments to reach, not people with their own ideas and ambitions. It’s one size fits all and it’s dull. When it comes to individuals, we’re fierce. We stand up for individuality. We speak up against bland, broad-brush generalizations. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations. And we commit to doing this in every aspect of our work for clients and their consumers. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency’s vision. And most importantly we value every individual’s well-being. We are Fiercely Individual. HOW WE DO IT: At RAPP we are fiercely focused on the individual and how we can create value from every individual’s experience with a brand. We do this across three capability areas: customer centric consulting, creativity that inspires action and customer experience management. Our data analysts know who that person is. Our strategists understand what they want. And our award-winning Technologists and Creatives know how to get it to them. RAPP is an integral part of Omnicom’s Precision Marketing Group, comprising 4,000 creatives, technologists, strategists, and data and marketing scientists across 40 global markets. The Senior Data Analyst is responsible for providing analytical support to our company, performing marketing analysis, identifying key trends and patterns and telling stories with data. He/she is also comfortable doing exploratory data analysis, navigating a dataset and driving insights. He/she will work closely with other data analysts, developers, marketing teams and project managers to understand and address the data needs of the business. MAIN RESPONSIBILITIES / DUTIES • Collecting and interpreting data • Analyzing results of ongoing digital campaigns • Interpret data, analyze results using statistical techniques and provide ongoing reports. • Providing technical expertise on data storage structures, data mining, and data cleansing. • Reporting the results back to the relevant members of the business • Identifying patterns and trends in data sets • Working alongside teams within the business or the management team to establish business needs • Acquire data from primary or secondary data sources. • Defining new data collection and analysis processes • Use data to answer key questions about the business. • Be the go-to person for any ad-hoc data-related questions. • Use statistical and econometric techniques on large datasets to measure results and show key trends • Identify causal impact and attribution • Analyze experiments • Model and predict future performance of users or products • Assist teammates using the data: assemble analysis, predictions, visualizations, queries, and dashboards. • Create meaningful visualizations that communicate your insights and findings, and drive business goals. REQUIREMENTS / QUALIFICATIONS ACADEMIC BACKGROUND • Degree in Statistics, Applied Mathematics, Computer Science or any quantitative field REQUIRED EXPERIENCE • Experience involving quantitative data analysis to solve problems. • Experience with common analytical tools such as R, SPSS, Weka, NumPy, MatLab, etc. Experience in data models and reporting packages. Proficient in Excel • Knowledge of web analytics tools such as Google Analytics and Adobe Analytics are highly desirable.. • Tools such as Power BI, D3.js, GGplot, Tableau, Pardot
Data Analyst
Data Solutions Analyst Your future team We serve the investment fund industry, assist our clients facing regulatory challenges and act as a Data Hub collecting documents and data that will further be used by our internal teams to produce regulatory reporting such as, but not limited to Annual Statements, Fund Tax Reporting, AIFMD reporting, KIID, PRIIPS, Risk and more recently ESG reporting. The lines between fund data and regulatory reporting are blurring. Reporting has evolved and is now delivered as streams of data, which have progressively become a golden mine. In this context, we are looking for a new experienced document and data management analyst that will work and support alongside our Data Solutions Team. What you will do: • Be an actor in our digital projects • Be involved in the elaboration of our TOM (Target Operating Model) • Thoroughly understand our process flows and propose improvements • Participate to daily operations for the collection of documents and data using RPA robots or dedicated tools • Connect together internally with our reporting teams and externally with some prestigious clients • Review results of matching & scrubbing processes • Investigate, detect anomalies, communicate and proceed with ad hoc corrections Who you are: • Hold a bachelor's degree in Finance, Economics, Statistics or Mathematics • Have 0-6 months experience • Show experience with UCITS, AIFMD, PRIIPs and ESG regulations is a plus • Demonstrate good analytical capabilities and a pragmatic mind-set • Desire to develop professionally in a young and dynamic team • Show excellent communication and presentation skills • Are proficient in Excel and VBA • Knowledge on SQL query is a must • Are familiar with visualization tools such as PowerBI • Are fluent in English (any other language is considered as an asset) We want to hear from you! Join us and... • Expand your network in the Luxembourgish and international market • Work with recognized experts and be part of a dynamic team delivering cutting-edge solutions to our clients • Enjoy flexible work arrangements • Profit from an attractive package of customizable advantages
Investment Data Analyst
Your future team Capital Markets is our very own dedicated department, part of the Consulting and Advisory Investment Management (IM) and Private Equity Real Estate (PERE) practice, specialized in advisory and reporting solutions primarily for the asset management sector. Our missions include valuation of financial derivative instruments, delivery of risk, performance and costs analytics for investment funds, as well as risk advisory and regulatory risk reporting for investment funds. We also provide advisory quantitative expertise to the banking and insurance industry sector. What you will do • Assisting our investment managers clients in the production of risk transparency reporting for their institutional investors • Liaising with different stakeholders to collect, review and validate input data required for each reporting • Designing innovative processes, computation libraries or workflows to improve data management capabilities, reporting analytics, quality and efficiency • Developing an expertise in the regulations impacting institutional investors (e.g. CRR II and Solvency II), in financial assets and derivative instruments • Training our clients in their understanding of our reporting and related regulations • Participating in the on-going improvement of our fund reporting platform coverage using latest technologies • Participating in the development of our eminence through regulatory analyses and clients' presentation Who you are • Hold a Bachelor degree in Finance, Mathematics or Statistics • Have a first experience (3 to 6 months) or internship in the financial sector • Show good knowledge of main financial derivative instruments (i.e. futures, swaps and options) • Demonstrate an ability to work autonomously as well as be part of a team • Be rigorous, quality driven, result-oriented with excellent data mining, analytical and synthetic skills • Show curiosity and eagerness to develop a good understanding of the investment funds industry • Coding skills (e.g. Python, SQL, R) are an asset • Be fluent in English and French