An ostensibly Data Analyst role that reads like a cross between analytics strategy and light data engineering. You’ll drive advanced analytics for Global Operations, automate reporting, and build...
read more »
An ostensibly Data Analyst role that reads like a cross between analytics strategy and light data engineering. You’ll drive advanced analytics for Global Operations, automate reporting, and build dashboards while collating diverse data sources for a cross-functional squad of Data Engineers, Data Scientists, and Business Analysts. The job promises governance, scalable pipelines, and data-driven storytelling, but you’re asked to own both requirement capture and lifecycle management of dashboards and pipelines. Techwise, the stack is credible: Python with pandas/NumPy, advanced SQL, JSON/XML, APIs, plus Snowflake, GCP, AWS, and CLI. Frontend hooks via Streamlit or R Shiny, versioning with Git, and CI/CD. Preferred ML/optimization work signals a potential slope toward data science, but the core remit remains governance and reporting. Salary isn’t disclosed; the scope spans junior to mid-level expectations and likely agency handoff. It’s solid, not magical, and diverges from specialty roles by breadth over depth.
Crypto.com’s Quant Trading team looks for a senior Java developer to own full-stack design, development and operation of a crypto trading and data platform spanning spots and derivatives. The role...
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Crypto.com’s Quant Trading team looks for a senior Java developer to own full-stack design, development and operation of a crypto trading and data platform spanning spots and derivatives. The role demands back-end excellence, cross-stack problem solving, and automation via automated testing, TDD and CI/CD, with a tight collaboration loop with traders, operations and other engineers. Five-plus years in Java, plus a track record in buy-side or exchange trading apps for equities, FX or derivatives, including crypto, are on the menu. The listing promises fast deployment, robust risk management and a growth path, but offers scant detail on the data tooling beyond generic data platforms; no explicit stack for streaming, storage, or analytics. The market standout is crypto exposure and a sizable, customer-rich platform; the risk is ambiguity around tech stack, governance, and on-call pressure in a volatile space.
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.
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.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
@ intuit
US | 2025-12-27
| USD
191500 - 259000
/ year
Intuit seeks a hands-on Senior Staff data engineer/architect to mature a broad analytics toolkit for the Small Business and Self-Employed group. The role blends data modeling mastery, scalable...
read more »
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff data engineer/architect to mature a broad analytics toolkit for the Small Business and Self-Employed group. The role blends data modeling mastery, scalable architecture, and governance with a heavy leadership remit—mentoring contractors, steering end-to-end pipelines, and translating clickstream and transactional data into decision-ready datasets. Expect Databricks on AWS with dbt, Airflow, and Fivetran underpinning the stack, plus SQL and Python as the workhorse languages. The job rewards strategic roadmapping and cross-functional storytelling to analysts and product managers, but the price is relentless standards, governance rigor, and high ownership. It’s a senior, impact-heavy position in a mature org that values data literacy, yet the description hints at potential political drag and maintenance of complex, evolving models rather than flashy experimentation. Compensation is explicit but region-variant, typical for the Bay Area market.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
@ intuit
US | 2025-12-27
| USD
191500 - 259000
/ year
Intuit seeks a hands-on Senior Staff to mature its Analytics ecosystem within the Data Intelligence team. It blends architecture, data modeling, and governance with practical work across...
read more »
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff to mature its Analytics ecosystem within the Data Intelligence team. It blends architecture, data modeling, and governance with practical work across clickstream and transactional sources, demanding deep SQL and Python, cloud platforms (Databricks on AWS), and orchestration/ETL tools (dbt, Airflow, Fivetran). Expect end-to-end ownership, mentoring contractors, and roadmapping under agile governance, plus translating business questions into robust data products. The stack values semantic-layer design, data lineage, and self-serve BI via Tableau/Looker/Qlik Sense. Pay is explicit by geography (Bay Area: 191,500-259,000; SoCal: 183,000-247,500) with bonuses and equity. It’s a strong market signal: high compensation, governance-forward architecture, and a clear path to leadership—great for stability and scale, less thrilling if you chase rapid, small-team velocity or hype cycles.
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.
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.
Aon Internship Programme 2026, Singapore - Innovation & Analytics
@ aon
SG | 2025-12-25
Aon offers a 12-week internship across diverse teams, including analytics, climate, and growth, focused on data management, visualization, and developing insights for client solutions. A...
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Aon Internship Programme 2026, Singapore - Innovation & Analytics
aon
(SG) FULL TIME | JOB LISTED
Aon offers a 12-week internship across diverse teams, including analytics, climate, and growth, focused on data management, visualization, and developing insights for client solutions. A distinctive feature is the chance to work on real-world projects used globally, yet the role carries the risk of limited direct impact and vague career progression. The position emphasizes technical skill development using tools like PowerBI, Tableau, Python, R, SQL, Azure DevOps, Typescript, React, and .NET.
Data analyst des consommations énergétiques industrielles F/H
@ edf
FR | 2025-12-23
A six-month internship at EDF R&D's decarbonation team focuses on consolidating energy consumption data across various sources to identify decarbonization potentials in industry. The position's...
read more »
Front Office Developer in a world-leading energy and commodities house promises a seat at the traders' table, building and expanding a global analytics platform fed by an in-house end-to-end...
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Front Office Developer in a world-leading energy and commodities house promises a seat at the traders' table, building and expanding a global analytics platform fed by an in-house end-to-end trading system and external data. The role leans heavily on C# and .NET (ASP.NET Core, Web APIs), plus SQL with Oracle, SQL Server, or PostgreSQL, and front-end work in React/TypeScript. GraphQL or gRPC are a plus, RX for reactive data flows, GIS-based tooling, and UI/UX polish as required. It’s a true cross-disciplinary role: translate business needs—from tank operators to top management—into scalable, well-documented code; support users; and ship in a fast-paced, CI/CD-enabled environment. The Singapore placement and business-facing duty stand out in a market flooded with data engineers who rarely touch production, but the bar is high: 5+ years, strong communication, and real-world trading/domain knowledge.
Full Stack Developer - Banker Tooling Cluster(EN)
@ vanlanschotkempen
NL | 2025-12-22
| EUR
4500 - 5700
/ month
A full-stack developer role at Van Lanschot Kempen involves designing and maintaining web applications using .NET, Angular, and Azure within a start-up like environment. The position's...
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A full-stack developer role at Van Lanschot Kempen involves designing and maintaining web applications using .NET, Angular, and Azure within a start-up like environment. The position's differentiator is the emphasis on collaboration in a multidisciplinary, agile team focused on creating seamless, hyperpersonalized client digital experiences. A potential risk includes the challenge of balancing innovative development with the stability expected from a financial institution. The role offers a salary of €4,500 to €5,700 gross monthly, with benefits.
An ostensibly Data Analyst role that reads like a cross between analytics strategy and light data engineering. You’ll drive advanced analytics for Global Operations, automate reporting, and build dashboards while collating diverse data sources for a cross-functional squad of Data Engineers, Data Scientists, and Business Analysts. The job promises governance, scalable pipelines, and data-driven storytelling, but you’re asked to own both requirement capture and lifecycle management of dashboards and pipelines. Techwise, the stack is credible: Python with pandas/NumPy, advanced SQL, JSON/XML, APIs, plus Snowflake, GCP, AWS, and CLI. Frontend hooks via Streamlit or R Shiny, versioning with Git, and CI/CD. Preferred ML/optimization work signals a potential slope toward data science, but the core remit remains governance and reporting. Salary isn’t disclosed; the scope spans junior to mid-level expectations and likely agency handoff. It’s solid, not magical, and diverges from specialty roles by breadth over depth.
Crypto.com’s Quant Trading team looks for a senior Java developer to own full-stack design, development and operation of a crypto trading and data platform spanning spots and derivatives. The role demands back-end excellence, cross-stack problem solving, and automation via automated testing, TDD and CI/CD, with a tight collaboration loop with traders, operations and other engineers. Five-plus years in Java, plus a track record in buy-side or exchange trading apps for equities, FX or derivatives, including crypto, are on the menu. The listing promises fast deployment, robust risk management and a growth path, but offers scant detail on the data tooling beyond generic data platforms; no explicit stack for streaming, storage, or analytics. The market standout is crypto exposure and a sizable, customer-rich platform; the risk is ambiguity around tech stack, governance, and on-call pressure in a volatile space.
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.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff data engineer/architect to mature a broad analytics toolkit for the Small Business and Self-Employed group. The role blends data modeling mastery, scalable architecture, and governance with a heavy leadership remit—mentoring contractors, steering end-to-end pipelines, and translating clickstream and transactional data into decision-ready datasets. Expect Databricks on AWS with dbt, Airflow, and Fivetran underpinning the stack, plus SQL and Python as the workhorse languages. The job rewards strategic roadmapping and cross-functional storytelling to analysts and product managers, but the price is relentless standards, governance rigor, and high ownership. It’s a senior, impact-heavy position in a mature org that values data literacy, yet the description hints at potential political drag and maintenance of complex, evolving models rather than flashy experimentation. Compensation is explicit but region-variant, typical for the Bay Area market.
Senior Staff Technical Data Analyst (Lead Analytics Engineer)
intuit
(US) FULL TIME | JOB LISTED
Intuit seeks a hands-on Senior Staff to mature its Analytics ecosystem within the Data Intelligence team. It blends architecture, data modeling, and governance with practical work across clickstream and transactional sources, demanding deep SQL and Python, cloud platforms (Databricks on AWS), and orchestration/ETL tools (dbt, Airflow, Fivetran). Expect end-to-end ownership, mentoring contractors, and roadmapping under agile governance, plus translating business questions into robust data products. The stack values semantic-layer design, data lineage, and self-serve BI via Tableau/Looker/Qlik Sense. Pay is explicit by geography (Bay Area: 191,500-259,000; SoCal: 183,000-247,500) with bonuses and equity. It’s a strong market signal: high compensation, governance-forward architecture, and a clear path to leadership—great for stability and scale, less thrilling if you chase rapid, small-team velocity or hype cycles.
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.
Aon Internship Programme 2026, Singapore - Innovation & Analytics
aon
(SG) FULL TIME | JOB LISTED
Aon offers a 12-week internship across diverse teams, including analytics, climate, and growth, focused on data management, visualization, and developing insights for client solutions. A distinctive feature is the chance to work on real-world projects used globally, yet the role carries the risk of limited direct impact and vague career progression. The position emphasizes technical skill development using tools like PowerBI, Tableau, Python, R, SQL, Azure DevOps, Typescript, React, and .NET.
Data analyst des consommations énergétiques industrielles F/H
edf
(FR) INTERNSHIP | JOB SUSPENDED
A six-month internship at EDF R&D's decarbonation team focuses on consolidating energy consumption data across various sources to identify decarbonization potentials in industry. The position's differentiator is direct collaboration with researchers and data enrichment algorithms, though it carries the risk of working with heterogeneous datasets and ambiguous data quality. Candidates should be engaged in third-year engineering studies and familiar with data analysis tools. The role involves automation, visualization, and analysis without explicit salary details provided.
Front Office Developer in a world-leading energy and commodities house promises a seat at the traders' table, building and expanding a global analytics platform fed by an in-house end-to-end trading system and external data. The role leans heavily on C# and .NET (ASP.NET Core, Web APIs), plus SQL with Oracle, SQL Server, or PostgreSQL, and front-end work in React/TypeScript. GraphQL or gRPC are a plus, RX for reactive data flows, GIS-based tooling, and UI/UX polish as required. It’s a true cross-disciplinary role: translate business needs—from tank operators to top management—into scalable, well-documented code; support users; and ship in a fast-paced, CI/CD-enabled environment. The Singapore placement and business-facing duty stand out in a market flooded with data engineers who rarely touch production, but the bar is high: 5+ years, strong communication, and real-world trading/domain knowledge.
A full-stack developer role at Van Lanschot Kempen involves designing and maintaining web applications using .NET, Angular, and Azure within a start-up like environment. The position's differentiator is the emphasis on collaboration in a multidisciplinary, agile team focused on creating seamless, hyperpersonalized client digital experiences. A potential risk includes the challenge of balancing innovative development with the stability expected from a financial institution. The role offers a salary of €4,500 to €5,700 gross monthly, with benefits.
