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...
read more »
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...
read more »
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.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
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.
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.
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.
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.
