Data Analyst Jobs in France

Senior Marketing Data Analyst

From $20/yr

Accountabilities: Develop, formulate, and test data-driven hypotheses to optimize traffic acquisition strategies, improve marketing efficiency, and support sustainable business growth. Design, build, and maintain analytical reports, dashboards, and reporting tools from initial concept through to implementation, providing marketing leaders with reliable insights for fast and informed decision-making. Analyze data from tracking platforms and multiple internal and external sources to evaluate marketing performance and identify optimization opportunities. Monitor and investigate user behavior throughout the entire acquisition funnel, from website visits and clicks to registrations and deposits. Evaluate traffic acquisition performance and identify trends, inefficiencies, and opportunities to improve marketing investment and campaign effectiveness. Translate complex analytical findings into clear, actionable recommendations for marketing stakeholders and department leaders. Collaborate closely with data engineers and web analytics specialists to optimize marketing data collection, integration, and processing across different sources. Contribute to the development, optimization, and maintenance of data pipelines to improve data quality, consistency, and accessibility. Develop and maintain Tableau dashboards and visualizations that communicate key marketing performance indicators effectively. Ensure that analytical processes, methodologies, and project documentation within the assigned area remain accurate, structured, and up to date. Continuously explore new analytical approaches and tools to improve reporting capabilities and support the evolution of marketing analytics. Requirements: At least 3 years of professional experience in marketing analytics, particularly in traffic acquisition analysis, marketing planning, and the development of marketing strategies. Advanced proficiency in SQL, with the ability to independently extract, transform, process, and analyze complex datasets. Strong understanding of traffic acquisition models, digital marketing channels, and the methodologies used to evaluate campaign and traffic performance. In-depth knowledge of statistics and practical experience applying statistical methods to marketing analysis, performance measurement, and hypothesis testing. Hands-on experience with Tableau, including the ability to create clear, informative, and actionable data visualizations and dashboards. Strong analytical and problem-solving skills, with the ability to identify patterns, interpret complex information, and translate findings into business recommendations. Understanding of marketing performance indicators and customer acquisition funnels, including visits, clicks, registrations, and deposits. Ability to work with data from multiple sources and ensure accuracy, consistency, and reliability in analytical outputs. Strong communication and collaboration skills, with the ability to work effectively with marketing stakeholders, data engineers, and web analytics teams. High attention to detail, ownership, and the ability to manage analytical projects independently. A proactive, solution-oriented mindset and a genuine interest in improving business performance through data. Additional advantages: Previous experience in the iGaming industry, which would facilitate understanding of the business environment. Familiarity with Google Analytics and dbt. Basic knowledge of Git and version control principles. Experience working with traffic tracking platforms, affiliate systems, or partner management tools. Benefits: Fully remote working arrangements. 20 paid working days off per year, in addition to public holidays and paid sick leave. Comprehensive medical insurance covering treatment at leading healthcare facilities. Coverage for psychological support and counseling through the Pleso platform. Monthly flexible benefits allowance that can be used for hobbies, sports, personal interests, and lifestyle activities. Individual learning and development budget to support professional growth and personal interests. Access to corporate English lessons, professional workshops, training sessions, and an online learning library. Structured career development opportunities, including regular performance reviews, mentoring programs, and clear career progression plans. Regular team-building activities, corporate events, workshops, and social initiatives. Collaborative and supportive international working environment that encourages teamwork, openness, and knowledge sharing. Modern technological infrastructure and automation tools designed to reduce repetitive tasks and support professional development. An autonomous working environment with minimal bureaucracy and opportunities to contribute ideas and improvements. The opportunity to work on challenging analytical projects and directly influence marketing strategy, traffic acquisition efficiency, and business growth. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Finance Data Analyst

Accountabilities: Map and document financial and corporate data sources, systems, ownership, definitions, and data flows to improve transparency and consistency. Identify data gaps, inconsistencies, duplication, and reconciliation issues across accounting, billing, CRM, HR, payroll, cash management, and expense-management systems. Define data requirements for monthly closing, budgeting, forecasting, and management reporting, ensuring key financial and operational metrics are clearly defined and consistently calculated. Explore, transform, and model data from data warehouses and connected business systems to create reliable, reusable, and well-documented datasets. Reconcile data across multiple sources and investigate discrepancies to improve the accuracy and reliability of financial and corporate reporting. Produce recurring financial analyses, dashboards, and reporting to support leadership decisions, including budget-versus-actuals analysis, variance analysis, cash monitoring, headcount planning, and SaaS performance analysis. Collaborate with data engineering teams and system owners to improve integrations, transformations, data accessibility, and quality checks. Automate recurring reporting, reconciliations, and analytical workflows where automation can deliver meaningful efficiency gains. Maintain documentation covering data lineage, metric definitions, business rules, assumptions, and known limitations. Contribute to data governance and quality monitoring, preparing reliable datasets for forecasting, anomaly detection, and future AI-driven use cases. Handle confidential financial, HR, and payroll information with discretion, accuracy, and a strong commitment to data protection. Requirements: At least 3 years of experience in data analysis, business intelligence, financial analytics, FP&A analytics, or a related analytical role. Strong analytical and problem-solving skills, with the ability to investigate data across multiple systems and identify the root causes of discrepancies. Good command of SQL and practical experience with at least one business intelligence or data visualization tool. Ability to translate business questions into clear data requirements, meaningful metrics, and actionable analyses. Solid understanding of financial concepts, including budgeting, forecasting, monthly closing, variance analysis, revenue, cash flow, costs, and unit economics. Advanced Excel or Google Sheets skills, including the ability to review, audit, and structure existing financial models. Strong documentation and communication skills, with the ability to collaborate effectively with both Finance and technical stakeholders. Professional fluency in English, both written and spoken, and the ability to communicate complex findings clearly. A rigorous, curious, and structured approach to data quality, with the confidence to challenge assumptions and make definitions explicit. Ability to work independently, prioritize competing requests, and deliver practical solutions in a changing business environment. Nice-to-have qualifications: Experience in a B2B SaaS, software, technology, or scale-up environment. Familiarity with SaaS revenue metrics, including MRR, ARR, NRR, churn, and bookings. Understanding of SaaS cost structures, including cloud storage, compute, data retention, AI-related expenses, and gross margin. Experience with finance, accounting, billing, CRM, HRIS, payroll, expense-management, or financial planning tools. Knowledge of data warehouses, data modeling, ETL processes, APIs, or data quality frameworks. Experience with Python or another programming language for analysis and automation. Previous exposure to sensitive HR or payroll data and an understanding of the confidentiality requirements involved. Candidates who meet most, but not necessarily all, of these requirements are encouraged to apply. A strong willingness to learn, analytical thinking, and the ability to demonstrate relevant skills are equally valued. Benefits: Full-time employment in a role with meaningful exposure to financial strategy and business performance. Opportunity to work in a technology-driven environment alongside Finance, Data Engineering, and other cross-functional teams. Scope to improve reporting processes, strengthen data quality, and contribute to automation and advanced analytics initiatives. Opportunities to develop expertise in financial analytics, business intelligence, data modeling, and SaaS performance metrics. A collaborative working environment that values clear communication, continuous improvement, and practical problem-solving. Potential exposure to future forecasting, anomaly detection, and AI-driven analytical projects. Salary, healthcare coverage, paid leave, flexibility, and other employment benefits to be confirmed with the hiring company. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Middle Marketing Data Analyst

From $20/yr

Accountabilities: As a Middle Marketing Data Analyst, you will turn marketing data into practical recommendations, improve reporting capabilities, and support experimentation across the business. Your main responsibilities will include: Marketing data analysis: Analyze data from tracking systems and other sources to understand user behavior throughout the marketing funnel, from visits and clicks to registrations and deposits. Dashboard development and reporting: Build and maintain informative dashboards and reports that help business teams identify funnel issues, uncover performance trends, and discover optimization opportunities. Experimentation and optimization: Support business teams in planning, launching, and evaluating experiments designed to improve customer acquisition and retention. Data collection and pipeline improvement: Collaborate with data engineers and web analytics specialists to optimize the collection and processing of marketing data from multiple sources and improve data pipelines. Documentation: Maintain accurate, structured, and up-to-date documentation related to your analytical area. Cross-functional collaboration: Work closely with relevant stakeholders to translate analytical findings into actionable recommendations and support data-informed decision-making. Requirements: The ideal candidate has a solid foundation in data analytics, strong SQL skills, and the ability to communicate findings through effective visualizations. You should be comfortable working with marketing performance data, applying statistical methods, and collaborating with different teams. The key qualifications include: Professional experience: At least two years of experience in data analytics or related analytical fields. SQL proficiency: Confident use of SQL to retrieve, process, transform, and analyze data. Data visualization: Practical experience with Tableau and the ability to create clear, informative dashboards and visualizations. Statistical knowledge: Understanding of statistical fundamentals and practical experience applying statistical methods to A/B testing. Analytical mindset: Ability to investigate performance trends, identify issues, and translate data into meaningful business insights. Collaboration skills: Strong communication and teamwork skills, with the ability to work effectively alongside business stakeholders, data engineers, and web analytics specialists. iGaming experience: Familiarity with the iGaming industry is an advantage. Additional tools: Knowledge of Google Analytics, dbt, and Git fundamentals is beneficial. Tracking and affiliate systems: Experience working with tracking platforms and affiliate systems is a plus. Benefits: Fully remote work: Flexibility to work remotely or from available hubs in Kyiv and Warsaw, with a focus on comfort and safety. Paid time off: 20 working days of paid leave, in addition to public holidays and sick leave. Health and well-being: Medical insurance with access to leading clinics and coverage for psychological support through the Pleso platform. Flexible lifestyle benefits: A monthly Benefit Café allowance to spend on personal interests, hobbies, sports, and other preferences. Learning and development: An individual learning budget, corporate English classes, workshops, and access to an online library. Career progression: Structured career planning, performance reviews, training opportunities, and mentoring programs. Collaborative culture: Team-building activities, corporate events, and workshops that encourage connection and knowledge sharing. Modern technology environment: Opportunities to contribute to building technology solutions from the ground up and use automation to reduce routine work. Autonomy and openness: A culture that values initiative, direct communication, feedback, and freedom to improve existing processes. Full-time employment: A full-time role within an international, growth-oriented team. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Senior Data Analyst

From $25/yr

Accountabilities Analyze large volumes of game and player data to identify patterns, trends, behavioral dynamics, and opportunities for business growth. Translate analytical findings into actionable recommendations for product improvements, helping stakeholders understand what works, what does not, and where to focus next. Conduct in-depth investigations into performance anomalies, game features, and changes in player behavior to determine underlying causes and explain their business implications. Collaborate with Data Scientists, Data Engineers, and Product Managers to develop hypotheses, validate assumptions, and contribute to hands-on data science and machine learning tasks. Apply statistical analysis and causal inference techniques to identify the factors influencing user behavior and product performance. Support predictive model development and validation through feature engineering, dataset preparation, model evaluation, and A/B testing. Design and implement experiments, evaluate their results, and provide statistically sound recommendations to support product decisions. Build and maintain dashboards, reports, and performance monitoring tools that help stakeholders track key performance indicators and make informed decisions. Define and refine metrics for new products and features, translating high-level business requirements into measurable analytical frameworks. Communicate complex analytical results clearly and effectively to both technical and non-technical audiences. Leverage AI coding assistants and other AI-powered tools to automate repetitive tasks, improve analytical workflows, and enhance the quality and efficiency of deliverables. Requirements Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative discipline. At least 5 years of experience as a Data Analyst or Data Scientist, preferably within the gaming, iGaming, or technology industry. Strong analytical thinking and problem-solving skills, with the ability to uncover meaningful insights and translate data into clear business recommendations. Experience working with large-scale datasets and distributed data processing technologies such as BigQuery, Spark, Hive, or equivalent tools. Advanced SQL skills, including complex queries, data transformation, and data wrangling. Strong Python skills and practical experience with data science libraries such as pandas and scikit-learn. Proficiency in data visualization and dashboard development using tools such as Tableau or Power BI. Solid knowledge of experimental design, statistical testing, A/B testing, hypothesis testing, and confidence intervals. Working knowledge of machine learning fundamentals, including supervised learning, feature engineering, model training and validation, and evaluation metrics. Familiarity with causal inference and uplift modeling, along with practical experience contributing to machine learning workflows or model development in collaboration with Data Scientists. Experience using AI coding assistants or other AI tools in daily work to improve automation, productivity, and output quality. English proficiency at B2 level or above. Strong communication and collaboration skills, with the ability to explain technical findings to diverse audiences. A proactive, product-oriented mindset and the ability to move beyond reporting metrics to recommend solutions that deliver measurable impact. Nice to have: Knowledge of the iGaming industry and an understanding of slot game mechanics. The ability to evaluate games from the player's perspective and connect behavioral data with the overall gaming experience. A strong product mindset, with an emphasis on identifying opportunities and proposing practical, impact-driven solutions. Benefits Flexible working hours and a remote-first working arrangement. 25 working days of annual vacation. 15 sick leave days. One paid day off to celebrate your birthday. Paid Ukrainian national holidays. Medical insurance after successfully completing the three-month probation period. A dedicated budget for professional development and education. Company-funded individual English lessons. Technical equipment tailored to your role and working needs. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Staff Data Analyst

Accountabilities Own analytics across the customer-facing business, covering enterprise partners, self-service customers, API adoption, booking performance, and commercial outcomes. Partner closely with senior Product, Engineering, and commercial leaders to define analytical priorities, challenge assumptions, and translate business questions into data-driven decisions. Build, validate, and maintain reliable dbt models, data pipelines, and analytical products that consolidate fragmented data sources into consistent, trusted reporting. Establish standardized metrics and reporting frameworks to resolve discrepancies between dashboards and provide a reliable view of product and business performance. Analyze customer journeys, API usage, and booking behavior to identify friction points, uncover conversion opportunities, and improve customer activation and retention. Develop product analytics capabilities and introduce experimentation frameworks, including hypothesis development, experiment design, and performance measurement. Investigate complex marketplace data across multiple products, systems, and fragmented hotel supply networks to uncover trends, operational challenges, and growth opportunities. Take analytical initiatives from initial discovery and solution design through implementation, validation, and adoption, ensuring that data products deliver measurable business value. Use AI coding agents and automation tools to accelerate development and analysis while maintaining data quality, reliability, and technical standards. Operate independently in an evolving environment, prioritizing high-impact opportunities, defining solutions with limited specifications, and delivering results with minimal oversight. Help shape analytics practices, data standards, and ways of working as the wider data organization continues to develop. Requirements Extensive experience in data analytics, analytics engineering, or a closely related discipline, with a track record of independently owning complex analytical initiatives. Proven experience working closely with senior Product, Engineering, or business leaders, influencing decisions through clear insights and a strong understanding of commercial priorities. Strong hands-on expertise in analytics engineering, including designing, developing, and validating dbt models, data pipelines, and end-to-end analytical solutions. Demonstrated ability to transform fragmented or complex datasets into reliable, well-structured data products that stakeholders can confidently use. Strong understanding of product analytics, customer behavior, conversion funnels, API adoption, and the relationship between product performance and business outcomes. Experience working in startups or scaleups, with the ability to navigate ambiguity, adapt to changing priorities, and deliver meaningful results in environments with limited structure. Practical experience using AI coding agents or AI-powered development tools to improve productivity, automate workflows, and accelerate implementation without compromising quality. Strong analytical thinking and problem-solving skills, with the ability to investigate complex questions, identify root causes, and turn findings into actionable recommendations. Excellent communication and stakeholder management skills, including the ability to challenge assumptions constructively and explain technical concepts to non-technical audiences. A high degree of autonomy, ownership, and accountability, combined with the ability to connect individual analytical projects to broader business and product objectives. Nice to have: Experience with product analytics and experimentation, including designing experiments and evaluating their impact on customer adoption, conversion, and growth. Background in marketplace businesses, platform companies, travel technology, or other complex, multi-sided digital ecosystems. Experience consolidating data across multiple products, systems, and customer segments to establish consistent performance metrics. Familiarity with AI-driven product development and modern data workflows. Benefits Remote and hybrid flexibility: Work remotely within the EU or choose a hybrid arrangement in Barcelona, Palma de Mallorca, Dublin, or London. High ownership and autonomy: Take responsibility for a major analytics function and directly influence strategic product and business decisions. Meaningful business impact: Build foundational analytics capabilities and see your work inform real decisions, product improvements, and commercial growth. Fast-paced working environment: Benefit from streamlined processes, limited bureaucracy, and the ability to move quickly from ideas to implementation. International collaboration: Work with distributed teams and senior stakeholders across multiple countries and functions. Professional growth: Help establish analytics practices and contribute to the evolution of a growing data organization. AI-driven innovation: Use modern AI tools and technologies to accelerate analytical development and improve operational efficiency. Major market opportunity: Contribute to technology that addresses complex challenges across the global travel and B2B hotel ecosystem. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1