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.
Intern - Quality Assurance Automation Engineer - F/M
@ sap
FR | 2025-12-26
SAP’s 6-month Paris internship asks a QA Automation Engineer to dive into SAP Analytics Cloud, collaborate in Scrum squads, and shape end-to-end test strategies for UI and API layers using Jasmine...
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Intern - Quality Assurance Automation Engineer - F/M
sap
(FR) INTERNSHIP | JOB LISTED
SAP’s 6-month Paris internship asks a QA Automation Engineer to dive into SAP Analytics Cloud, collaborate in Scrum squads, and shape end-to-end test strategies for UI and API layers using Jasmine and Selenium. It’s heavy on toolchain: Gherkin, Cucumber/Robot, Java, JavaScript/TypeScript (UI5/React), Git, Jenkins, Docker, Kubernetes, plus an ambitious nod to an LLM-based test generator. The mix of front-end components and cloud analytics aligns with real-world demand, but the permanent perks are undefined in a six-month stint and the bilingual English/French requirement tightens the gate. The role promises constant learning and a window into large-scale enterprise CI/CD, with opportunities to influence QA approaches across global SAP teams. The risks? Bureaucracy, a vendor-light internship label, and a credential boost with a cloud behemoth that isn’t exactly a startup. Overall, practical, not flashy, valuable if you want visibility into enterprise analytics tooling.
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.
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world...
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NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world patient outcomes on the line. The technical bar is high: Python, SQL, R; dashboards (Tableau/Power BI/TIBCO); Databricks on AWS; Docker/Kubernetes; REST APIs with FastAPI; Streamlit and Next.js front ends; Git CI/CD; and hands-on work with LLMs for care-pathway optimization. Data governance and PDPA/HBRA compliance sit alongside rapid prototyping, so you’ll trade glittering experiments for robust production pipelines and audits. The upside: meaningful impact, exposure to enterprise healthcare data, leadership experience. The caveat: bureaucratic cycles, security requirements, and the usual healthcare procurement friction. In short, a credible blend of AI-in-healthcare with real-world constraints, not a hype-driven data science gig.
Six-month internship at SAP Paris as QA and Automation Engineer. You join Scrum teams to master SAP Analytics Cloud, align with delivery workflows, analyze functional needs, and design/execute...
read more »
Intern - Ingénieur.e Assurance Qualité & Automatisation - F/H
sap
(FR) INTERNSHIP | JOB LISTED
Six-month internship at SAP Paris as QA and Automation Engineer. You join Scrum teams to master SAP Analytics Cloud, align with delivery workflows, analyze functional needs, and design/execute automated UI and API tests with Jasmine and Selenium. You will track defects, validate fixes, and help stitch CI/CD pipelines; expect to contribute to test generation and LLM-based error analysis. The tech stack reads like a checklist: Java, JavaScript/TypeScript (UI5 and React), Selenium, Jasmine, Cucumber or Robot, Git/GitHub, Jenkins, Docker, Kubernetes, plus Gherkin knowledge a plus and basic AI/ML concepts. It sits inside SAP’s cloud analytics ecosystem (SAP Analytics Cloud, SAP BTP) with teams across Paris and the world. The role promises learning and well-being, but as an internship it tests you more than it rewards, and the breadth of tooling can be overwhelming for a six-month window.
Coralogix seeks a temporary Product Marketing Manager to execute a GTM strategy for three new AI observability products amid a tech-savvy environment with a strong focus on understanding complex...
read more »
Business & Data Analyst - 6 Month Internship
@ hairprose
FR | 2025-12-23
Prose is a startup focusing on personalized beauty products, leveraging data and technology. The role involves analyzing sales and subscription data to improve customer retention and engagement,...
read more »
Business & Data Analyst - 6 Month Internship
hairprose
(FR) INTERNSHIP | JOB LISTED
Prose is a startup focusing on personalized beauty products, leveraging data and technology. The role involves analyzing sales and subscription data to improve customer retention and engagement, with a notable emphasis on internal data handling and cross-team communication. A key differentiator is the integration of AI-driven product customization, while a risk lies in the reliance on internal data quality and interpretation skills. The position requires familiarity with SQL, Python, and Looker, and involves collaboration across various teams in a fast-growing environment.
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.
Intern - Quality Assurance Automation Engineer - F/M
sap
(FR) INTERNSHIP | JOB LISTED
SAP’s 6-month Paris internship asks a QA Automation Engineer to dive into SAP Analytics Cloud, collaborate in Scrum squads, and shape end-to-end test strategies for UI and API layers using Jasmine and Selenium. It’s heavy on toolchain: Gherkin, Cucumber/Robot, Java, JavaScript/TypeScript (UI5/React), Git, Jenkins, Docker, Kubernetes, plus an ambitious nod to an LLM-based test generator. The mix of front-end components and cloud analytics aligns with real-world demand, but the permanent perks are undefined in a six-month stint and the bilingual English/French requirement tightens the gate. The role promises constant learning and a window into large-scale enterprise CI/CD, with opportunities to influence QA approaches across global SAP teams. The risks? Bureaucracy, a vendor-light internship label, and a credential boost with a cloud behemoth that isn’t exactly a startup. Overall, practical, not flashy, valuable if you want visibility into enterprise analytics tooling.
NUH promises a role where analytics meets clinical delivery, but it’s a unicorn in a hospital setting: leadership of data initiatives, hands-on ETL, dashboards, and AI models, with real-world patient outcomes on the line. The technical bar is high: Python, SQL, R; dashboards (Tableau/Power BI/TIBCO); Databricks on AWS; Docker/Kubernetes; REST APIs with FastAPI; Streamlit and Next.js front ends; Git CI/CD; and hands-on work with LLMs for care-pathway optimization. Data governance and PDPA/HBRA compliance sit alongside rapid prototyping, so you’ll trade glittering experiments for robust production pipelines and audits. The upside: meaningful impact, exposure to enterprise healthcare data, leadership experience. The caveat: bureaucratic cycles, security requirements, and the usual healthcare procurement friction. In short, a credible blend of AI-in-healthcare with real-world constraints, not a hype-driven data science gig.
Intern - Ingénieur.e Assurance Qualité & Automatisation - F/H
sap
(FR) INTERNSHIP | JOB LISTED
Six-month internship at SAP Paris as QA and Automation Engineer. You join Scrum teams to master SAP Analytics Cloud, align with delivery workflows, analyze functional needs, and design/execute automated UI and API tests with Jasmine and Selenium. You will track defects, validate fixes, and help stitch CI/CD pipelines; expect to contribute to test generation and LLM-based error analysis. The tech stack reads like a checklist: Java, JavaScript/TypeScript (UI5 and React), Selenium, Jasmine, Cucumber or Robot, Git/GitHub, Jenkins, Docker, Kubernetes, plus Gherkin knowledge a plus and basic AI/ML concepts. It sits inside SAP’s cloud analytics ecosystem (SAP Analytics Cloud, SAP BTP) with teams across Paris and the world. The role promises learning and well-being, but as an internship it tests you more than it rewards, and the breadth of tooling can be overwhelming for a six-month window.
Coralogix seeks a temporary Product Marketing Manager to execute a GTM strategy for three new AI observability products amid a tech-savvy environment with a strong focus on understanding complex concepts. The role’s differentiator is the emphasis on marketing highly technical products through clear narratives, though the risk potential lies in the temporary status possibly limiting long-term influence and continuity.
Business & Data Analyst - 6 Month Internship
hairprose
(FR) INTERNSHIP | JOB LISTED
Prose is a startup focusing on personalized beauty products, leveraging data and technology. The role involves analyzing sales and subscription data to improve customer retention and engagement, with a notable emphasis on internal data handling and cross-team communication. A key differentiator is the integration of AI-driven product customization, while a risk lies in the reliance on internal data quality and interpretation skills. The position requires familiarity with SQL, Python, and Looker, and involves collaboration across various teams in a fast-growing environment.
