Back in the late nineties, when statisticians apparently decided coding was cool, R emerged as a sort of open-source rebellion against the expensive, proprietary statistical packages dominating the landscape. It promised a flexible environment for data analysis, visualization, and, let’s be honest, a frankly alarming degree of customizability. The reality? It’s a bit like building a car from spare parts – incredibly powerful if you really know what you’re doing, but prone to unexpected breakdowns and requiring constant tinkering.
Compared to Python, which has become the darling of the machine learning crowd, R remains stubbornly focused on statistical computing. While Python strives for general-purpose dominance, R happily wallows in its niche, beloved by academics, biostatisticians, and anyone who enjoys wrestling with package dependencies. It’s still surprisingly relevant, powering much of the statistical rigor behind everything from clinical trials to financial modeling. Though one suspects many users are still running code written on floppy disks.
This role is a tantalizing blend of data-driven marketing and technical innovation, but it lacks clarity on the specific technologies and tools expected. The job description emphasizes a global,...
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This role is a tantalizing blend of data-driven marketing and technical innovation, but it lacks clarity on the specific technologies and tools expected. The job description emphasizes a global, diverse team and a culture of experimentation, yet fails to specify the tools, frameworks, or languages required. It mentions exposure to data analysis packages like SAS, R, and SQL, but does not provide concrete details on the tools or technologies the candidate will be expected to master. The role appears to be more about conceptual understanding and cultural fit than technical proficiency. While the opportunity to work with a global, innovative team is appealing, the lack of specific technical requirements makes it difficult to assess the candidate’s readiness. The position is well-positioned for someone with a background in data science, marketing, or analytics, but it lacks the specificity needed to evaluate the candidate’s technical skills effectively.
WTW's Risk & Analytics France analyst role is a work-study/alternance in a global risk advisory unit, blending client-facing risk identification, quantification and insurance optimization across...
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WTW's Risk & Analytics France analyst role is a work-study/alternance in a global risk advisory unit, blending client-facing risk identification, quantification and insurance optimization across cyber, climate and operational risk. You’ll draft deliverables, present results, map risk, and contribute to internal R&D while supporting business development from prospecting to proposals. Expect Excel and PowerPoint to form the backbone, with VBA, R, Matlab, or Python touted as assets. The position promises broad exposure—multidisciplinary risk experts, cross-border teams, and real projects—yet it remains heavy on advisory outputs rather than pure data engineering or modern analytics pipelines. English is required; Master 2 is expected. What stands out is the breadth and client exposure in a venerable firm; what's worrying is the vagueness on data tooling depth, autonomy, and compensation, given the apprenticeship framing.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
Data Analyst (Bangkok Based, relocation provided)
@ agoda
FR | 2025-12-27
Bangkok-based Performance Marketing role at Agoda blends analytics, experimentation, and dashboards to optimize large-scale campaigns across search and social channels. You’ll design and analyze...
read more »
Data Analyst (Bangkok Based, relocation provided)
agoda
(FR) FULL TIME | JOB LISTED
Bangkok-based Performance Marketing role at Agoda blends analytics, experimentation, and dashboards to optimize large-scale campaigns across search and social channels. You’ll design and analyze A/B tests, build optimization models, and deliver dashboards for account managers using Excel, SQL, Python, R, SAS, SPSS, VBA, and Tableau. The package signals a strong data-driven culture, but the tech stack reads more legacy analytics than modern cloud-native platforms. Requirements are pragmatic: 2-3 years' experience, a quantitative degree, fluent English, independence, and solid Excel and SQL chops. Relocation is offered, and you join a global, diverse team with exposure to international markets. The role stands out for scale and business impact; it's less exciting for those chasing streaming data pipelines or cutting-edge tooling. Salary details are not disclosed.
Senior Data Analyst (Bangkok Based, relocation provided)
@ agoda
FR | 2025-12-27
This role is a misrepresentation of the reality of data engineering at Agoda. The job description claims to focus on performance marketing, but the responsibilities are more aligned with data...
read more »
Senior Data Analyst (Bangkok Based, relocation provided)
agoda
(FR) FULL TIME | JOB LISTED
This role is a misrepresentation of the reality of data engineering at Agoda. The job description claims to focus on performance marketing, but the responsibilities are more aligned with data science and analytics, requiring advanced statistical and analytical skills, and a deep understanding of A/B testing and data modeling. The qualifications list is overly broad and lacks specificity, making it difficult to assess the actual requirements. The company’s emphasis on diversity and inclusion is genuine, but the job posting fails to clearly communicate the technical depth and complexity of the role. It’s a misleading portrayal of the data engineering landscape at Agoda, with a focus on marketing rather than the core technical challenges of the field.
Smile advertises a Data Analyst role embedded in a European open-source powerhouse of 1,800 people across nine countries. The core duties read like a complete data lifecycle: extract, clean, and...
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Smile advertises a Data Analyst role embedded in a European open-source powerhouse of 1,800 people across nine countries. The core duties read like a complete data lifecycle: extract, clean, and prepare data; analyze for trends; build dashboards; define KPIs; and partner with business teams to deliver usable insights. Technically, you’re in an OSS-heavy stack: ETL/ELT and Big Data with Spark/Hadoop, cloud platforms (AWS, Azure, GCP), orchestration (Kubernetes, Docker), BI tools (Power BI, Tableau), SQL/NoSQL, programming in Python/Java/Scala/R, API work, CI/CD, and search engines Elasticsearch or Solr. The breadth is its selling point and its leash: a Data Analyst who also touches data engineering, backend work, and even search optimization risks role creep and dilution of depth. Still, you gain broad tooling exposure, practical enterprise challenges, and a clear path to cross-disciplinary credibility, not buzzword bingo.
This role is a compelling opportunity for a data engineer passionate about game development, but it lacks clarity on the company’s technical direction and the specific tools and frameworks...
read more »
This role is a compelling opportunity for a data engineer passionate about game development, but it lacks clarity on the company’s technical direction and the specific tools and frameworks expected. The job emphasizes data-driven decision-making and cross-functional collaboration, aligning with modern data engineering practices. However, the focus on ‘Gear Fight!’ or ‘Cup Heroes’ as the primary project may limit the scope of technical innovation. The role requires expertise in SQL, R, or Python, and a pragmatic approach to data analysis, but lacks explicit details on the technologies or tools to be used. While the position highlights the potential for impactful work in a fast-paced, high-growth environment, it struggles to differentiate itself from other data engineering roles in the market, relying on vague language and a focus on process over innovation.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
Stage Logiciel : Développement d'un outil d'extraction, d'analyse et de visualisation de données F/H
@ mbda
FR | 2025-12-26
MBDA’s student/alternance role reads like a grounded data tooling internship rather than a buzzword-filled data science job. You’ll build a graphical tool to search, extract, and analyze...
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Stage Logiciel : Développement d'un outil d'extraction, d'analyse et de visualisation de données F/H
mbda
(FR) FULL TIME | JOB LISTED
MBDA’s student/alternance role reads like a grounded data tooling internship rather than a buzzword-filled data science job. You’ll build a graphical tool to search, extract, and analyze information from heterogeneous documents (DOORS, Word, PDF) and define a usable query model. Expect real, code-level work: Python for parsing and scripting, with Java or C# for the GUI, plus DOCX/XML handling and visualization libraries to show KPIs and dynamic graphs. The challenges sit at the intersection of data modeling, tooling, and user experience in a regulated defense context, with six-month horizons and fixed milestones. The upside: a credible pathway to a full-time role if you prove yourself, mentorship-rich environment, and exposure to mission-planning workflows. The downsides: defense sector constraints, potential patchwork data sources, and limited geographic flexibility.
This role requires expertise in IFRS9 credit risk modeling, with a focus on forward-looking approaches, and involves working with regulatory frameworks, data pipelines, and risk management...
read more »
Analyste quantitatif IFRS9 expérimenté - Risque de crédit (H/F)
credit-mutuel
(FR) FULL TIME | JOB LISTED
This role requires expertise in IFRS9 credit risk modeling, with a focus on forward-looking approaches, and involves working with regulatory frameworks, data pipelines, and risk management processes. The position emphasizes technical proficiency in Python/R/SAS, complex data handling, and regulatory compliance. While the job offers a dynamic, collaborative environment and competitive benefits, the description lacks specific salary details and doesn’t clearly articulate the unique value proposition of the role in a competitive market. It’s a technically rigorous position, but the language is vague on compensation and career growth, making it difficult to assess its true value.
Intern (6 months) Global Performance Analytics
@ opella-health
FR | 2025-12-26
Opella’s six-month CXA Global Performance Analytics internship in Neuilly sur Seine is squarely BI-driven, not a code bootcamp. You’ll support analytics projects, build dashboards in Power BI and...
read more »
Intern (6 months) Global Performance Analytics
opella-health
(FR) INTERNSHIP | JOB LISTED
Opella’s six-month CXA Global Performance Analytics internship in Neuilly sur Seine is squarely BI-driven, not a code bootcamp. You’ll support analytics projects, build dashboards in Power BI and Excel, and translate sell-out data and panel insights into business stories for Global Brand teams. The upside is tangible exposure to FMCG analytics at a global healthcare giant and a chance to touch forecasting, market dynamics, and competitive intelligence across countries. The caveats are real: heavy reliance on Excel and PowerPoint; SQL/Python/R skills are a bonus, not a core requirement; data definitions and quality checks sit alongside ad-hoc analyses, not clean data pipelines. Sanofi Opella’s global scale and its B Corp credential add credibility, but the internship remains firmly BI-centric rather than engineering- or science-driven.
Internship – Data Product Analyst – February 2026 M/F
@ danone
FR | 2025-12-25
| EUR
1300 - 1500
/ month
This internship at Danone involves supporting data analytics projects in Finance with a focus on data quality monitoring and pipeline delivery, using Python, SQL, and Databricks. A notable...
read more »
Internship – Data Product Analyst – February 2026 M/F
danone
(FR) FULL TIME | JOB LISTED
This internship at Danone involves supporting data analytics projects in Finance with a focus on data quality monitoring and pipeline delivery, using Python, SQL, and Databricks. A notable difference is the opportunity to participate in market best practice analysis, though the risk includes the temporary nature of the internship. Compensation ranges from €1,300 to €1,500 gross/month, with benefits like remote work and soft skill development.
Fever markets itself as the world’s leading culture and live-entertainment platform, and the Growth Senior Analyst role reads as the operational core of that claim. You’ll own a pipeline of global...
read more »
Fever markets itself as the world’s leading culture and live-entertainment platform, and the Growth Senior Analyst role reads as the operational core of that claim. You’ll own a pipeline of global projects, turning data into strategy across up to 40 markets with real growth impact. The requirements are solid: a technical or mathematics background, at least three years in business analytics, strong stakeholder skills, and hands-on coding in SQL, R, or Python. The description offers little on concrete data infrastructure, which is telling in a fast-moving growth role and raises questions about tooling maturity. What stands out is true autonomy, international scope, and a chance to shape business results beyond dashboards. What’s risky is hype without specifics on compensation, data platforms, or delivery cadence. It rewards practitioners who actually deliver in a messy, scale-out environment.
This 6-month renewable bioinformatics Business Analyst role supports digital transformation in advanced research, focusing on biological data analysis and developing innovative solutions. A key...
read more »
This 6-month renewable bioinformatics Business Analyst role supports digital transformation in advanced research, focusing on biological data analysis and developing innovative solutions. A key differentiator is expertise in graph technologies like Neo4j and algorithms such as GNN; a risk involves the reliance on specialized skills that may not be fully covered by current team expertise.
Voodoo's live-ops analytics role on Paper.io 2 places you at the data-to-product edge of a high-volume mobile publisher. Expect 4+ years in gaming analytics, strong SQL and either Python or R, and...
read more »
Voodoo's live-ops analytics role on Paper.io 2 places you at the data-to-product edge of a high-volume mobile publisher. Expect 4+ years in gaming analytics, strong SQL and either Python or R, and a ruthless grip on A/B testing, KPI attribution, and monetization optimization across large, fast-changing datasets. You’ll own the experimentation cycle end-to-end, translate discoveries into actionable product guidance, and build dashboards that keep designers, PMs, and developers aligned. Location flexibility is real—Paris or CET remote ±3h—with compensation pitched as best-in-class but devoid of numbers. What stands out is scale: billions of downloads, millions in annual live-ops revenue, and a company that touts autonomy while emphasizing personality over processes. What to watch: the stack isn’t fully spelled out beyond core analytics, so outcomes hinge on execution, storytelling, and the willingness to navigate a fast, sometimes opaque gaming cycle.
This role is a tantalizing blend of data-driven marketing and technical innovation, but it lacks clarity on the specific technologies and tools expected. The job description emphasizes a global, diverse team and a culture of experimentation, yet fails to specify the tools, frameworks, or languages required. It mentions exposure to data analysis packages like SAS, R, and SQL, but does not provide concrete details on the tools or technologies the candidate will be expected to master. The role appears to be more about conceptual understanding and cultural fit than technical proficiency. While the opportunity to work with a global, innovative team is appealing, the lack of specific technical requirements makes it difficult to assess the candidate’s readiness. The position is well-positioned for someone with a background in data science, marketing, or analytics, but it lacks the specificity needed to evaluate the candidate’s technical skills effectively.
WTW's Risk & Analytics France analyst role is a work-study/alternance in a global risk advisory unit, blending client-facing risk identification, quantification and insurance optimization across cyber, climate and operational risk. You’ll draft deliverables, present results, map risk, and contribute to internal R&D while supporting business development from prospecting to proposals. Expect Excel and PowerPoint to form the backbone, with VBA, R, Matlab, or Python touted as assets. The position promises broad exposure—multidisciplinary risk experts, cross-border teams, and real projects—yet it remains heavy on advisory outputs rather than pure data engineering or modern analytics pipelines. English is required; Master 2 is expected. What stands out is the breadth and client exposure in a venerable firm; what's worrying is the vagueness on data tooling depth, autonomy, and compensation, given the apprenticeship framing.
Data Analyst (Bangkok Based, relocation provided)
agoda
(FR) FULL TIME | JOB LISTED
Bangkok-based Performance Marketing role at Agoda blends analytics, experimentation, and dashboards to optimize large-scale campaigns across search and social channels. You’ll design and analyze A/B tests, build optimization models, and deliver dashboards for account managers using Excel, SQL, Python, R, SAS, SPSS, VBA, and Tableau. The package signals a strong data-driven culture, but the tech stack reads more legacy analytics than modern cloud-native platforms. Requirements are pragmatic: 2-3 years' experience, a quantitative degree, fluent English, independence, and solid Excel and SQL chops. Relocation is offered, and you join a global, diverse team with exposure to international markets. The role stands out for scale and business impact; it's less exciting for those chasing streaming data pipelines or cutting-edge tooling. Salary details are not disclosed.
Senior Data Analyst (Bangkok Based, relocation provided)
agoda
(FR) FULL TIME | JOB LISTED
This role is a misrepresentation of the reality of data engineering at Agoda. The job description claims to focus on performance marketing, but the responsibilities are more aligned with data science and analytics, requiring advanced statistical and analytical skills, and a deep understanding of A/B testing and data modeling. The qualifications list is overly broad and lacks specificity, making it difficult to assess the actual requirements. The company’s emphasis on diversity and inclusion is genuine, but the job posting fails to clearly communicate the technical depth and complexity of the role. It’s a misleading portrayal of the data engineering landscape at Agoda, with a focus on marketing rather than the core technical challenges of the field.
Smile advertises a Data Analyst role embedded in a European open-source powerhouse of 1,800 people across nine countries. The core duties read like a complete data lifecycle: extract, clean, and prepare data; analyze for trends; build dashboards; define KPIs; and partner with business teams to deliver usable insights. Technically, you’re in an OSS-heavy stack: ETL/ELT and Big Data with Spark/Hadoop, cloud platforms (AWS, Azure, GCP), orchestration (Kubernetes, Docker), BI tools (Power BI, Tableau), SQL/NoSQL, programming in Python/Java/Scala/R, API work, CI/CD, and search engines Elasticsearch or Solr. The breadth is its selling point and its leash: a Data Analyst who also touches data engineering, backend work, and even search optimization risks role creep and dilution of depth. Still, you gain broad tooling exposure, practical enterprise challenges, and a clear path to cross-disciplinary credibility, not buzzword bingo.
This role is a compelling opportunity for a data engineer passionate about game development, but it lacks clarity on the company’s technical direction and the specific tools and frameworks expected. The job emphasizes data-driven decision-making and cross-functional collaboration, aligning with modern data engineering practices. However, the focus on ‘Gear Fight!’ or ‘Cup Heroes’ as the primary project may limit the scope of technical innovation. The role requires expertise in SQL, R, or Python, and a pragmatic approach to data analysis, but lacks explicit details on the technologies or tools to be used. While the position highlights the potential for impactful work in a fast-paced, high-growth environment, it struggles to differentiate itself from other data engineering roles in the market, relying on vague language and a focus on process over innovation.
Stage Logiciel : Développement d'un outil d'extraction, d'analyse et de visualisation de données F/H
mbda
(FR) FULL TIME | JOB LISTED
MBDA’s student/alternance role reads like a grounded data tooling internship rather than a buzzword-filled data science job. You’ll build a graphical tool to search, extract, and analyze information from heterogeneous documents (DOORS, Word, PDF) and define a usable query model. Expect real, code-level work: Python for parsing and scripting, with Java or C# for the GUI, plus DOCX/XML handling and visualization libraries to show KPIs and dynamic graphs. The challenges sit at the intersection of data modeling, tooling, and user experience in a regulated defense context, with six-month horizons and fixed milestones. The upside: a credible pathway to a full-time role if you prove yourself, mentorship-rich environment, and exposure to mission-planning workflows. The downsides: defense sector constraints, potential patchwork data sources, and limited geographic flexibility.
Analyste quantitatif IFRS9 expérimenté - Risque de crédit (H/F)
credit-mutuel
(FR) FULL TIME | JOB LISTED
This role requires expertise in IFRS9 credit risk modeling, with a focus on forward-looking approaches, and involves working with regulatory frameworks, data pipelines, and risk management processes. The position emphasizes technical proficiency in Python/R/SAS, complex data handling, and regulatory compliance. While the job offers a dynamic, collaborative environment and competitive benefits, the description lacks specific salary details and doesn’t clearly articulate the unique value proposition of the role in a competitive market. It’s a technically rigorous position, but the language is vague on compensation and career growth, making it difficult to assess its true value.
Intern (6 months) Global Performance Analytics
opella-health
(FR) INTERNSHIP | JOB LISTED
Opella’s six-month CXA Global Performance Analytics internship in Neuilly sur Seine is squarely BI-driven, not a code bootcamp. You’ll support analytics projects, build dashboards in Power BI and Excel, and translate sell-out data and panel insights into business stories for Global Brand teams. The upside is tangible exposure to FMCG analytics at a global healthcare giant and a chance to touch forecasting, market dynamics, and competitive intelligence across countries. The caveats are real: heavy reliance on Excel and PowerPoint; SQL/Python/R skills are a bonus, not a core requirement; data definitions and quality checks sit alongside ad-hoc analyses, not clean data pipelines. Sanofi Opella’s global scale and its B Corp credential add credibility, but the internship remains firmly BI-centric rather than engineering- or science-driven.
Internship – Data Product Analyst – February 2026 M/F
danone
(FR) FULL TIME | JOB LISTED
This internship at Danone involves supporting data analytics projects in Finance with a focus on data quality monitoring and pipeline delivery, using Python, SQL, and Databricks. A notable difference is the opportunity to participate in market best practice analysis, though the risk includes the temporary nature of the internship. Compensation ranges from €1,300 to €1,500 gross/month, with benefits like remote work and soft skill development.
Fever markets itself as the world’s leading culture and live-entertainment platform, and the Growth Senior Analyst role reads as the operational core of that claim. You’ll own a pipeline of global projects, turning data into strategy across up to 40 markets with real growth impact. The requirements are solid: a technical or mathematics background, at least three years in business analytics, strong stakeholder skills, and hands-on coding in SQL, R, or Python. The description offers little on concrete data infrastructure, which is telling in a fast-moving growth role and raises questions about tooling maturity. What stands out is true autonomy, international scope, and a chance to shape business results beyond dashboards. What’s risky is hype without specifics on compensation, data platforms, or delivery cadence. It rewards practitioners who actually deliver in a messy, scale-out environment.
This 6-month renewable bioinformatics Business Analyst role supports digital transformation in advanced research, focusing on biological data analysis and developing innovative solutions. A key differentiator is expertise in graph technologies like Neo4j and algorithms such as GNN; a risk involves the reliance on specialized skills that may not be fully covered by current team expertise.
Voodoo's live-ops analytics role on Paper.io 2 places you at the data-to-product edge of a high-volume mobile publisher. Expect 4+ years in gaming analytics, strong SQL and either Python or R, and a ruthless grip on A/B testing, KPI attribution, and monetization optimization across large, fast-changing datasets. You’ll own the experimentation cycle end-to-end, translate discoveries into actionable product guidance, and build dashboards that keep designers, PMs, and developers aligned. Location flexibility is real—Paris or CET remote ±3h—with compensation pitched as best-in-class but devoid of numbers. What stands out is scale: billions of downloads, millions in annual live-ops revenue, and a company that touts autonomy while emphasizing personality over processes. What to watch: the stack isn’t fully spelled out beyond core analytics, so outcomes hinge on execution, storytelling, and the willingness to navigate a fast, sometimes opaque gaming cycle.
