Role focuses on configuring and maintaining scalable crawlers, integrating extracted data into the OpenData platform, implementing data quality and observability, and producing ad-hoc and regular reports. Requirements include 4+ years using SQL as a data analyst, 4+ years using Python as an analytic engineer, experience with version control and code reviews, hands-on crawler development, and strong knowledge of data structures and modeling. Nice-to-haves: Mozenda or Zyte, Redshift, dbt, Polars.

Responsible for configuring and maintaining scalable crawlers, integrating extracted data into the OpenData platform, implementing data quality and observability, and producing ad-hoc and regular reports. Requires 4+ years using SQL and 4+ years using Python; experience with version control, data modeling, Redshift, dbt, Polars and crawling tools (Mozenda/Zyte) is listed as nice-to-have. Total compensation listed: 50,000–85,000 EUR per year.

Veeva OpenData seeks an Analytics Engineer (remote, based in Spain/Barcelona) to create and maintain scalable crawlers, acquire and model data, implement data quality and observability, and produce ad-hoc and regular reports. Requires 4+ years using SQL and 4+ years using Python. Total compensation listed: 45,000–95,000 EUR (annual, total comp range).

Thrive Market is seeking a Senior Data Scientist to own end-to-end analytics and ML projects—from problem definition and experimentation to model building, productionization, and monitoring—working closely with Product, Engineering, and Analytics. The role requires 5+ years of experience, proficiency in Python and SQL, hands-on experience with cloud ML tooling (e.g., AWS SageMaker, Lambda, S3, ECR) and containerized workflows (Docker, Kubernetes), and will require biannual travel to the Los Angeles HQ.

Lead cross-functional analytics projects for product teams, design and analyze A/B tests, build dashboards and datasets, identify and resolve data quality issues, and communicate clear, data-driven recommendations. Requires 7+ years in data/product analytics with advanced SQL, programming (e.g., Python), experience with cloud data warehouses (Snowflake) and large-scale tools (Hive/Spark).

The Finance Systems Data Analyst will support Finance by maintaining, validating, and reconciling financial data between SAP (FI/CO, AR, AP, GL) and a Snowflake data warehouse; build and transform data models in dbt; collaborate with IT and Data Engineering on ingestion; develop BI dashboards and reports (P&L, balance sheet, cash flow, working capital KPIs) using tools such as Sigma, Power BI or Tableau; troubleshoot finance data/system issues; and contribute to automation and data governance initiatives.

The Finance Systems Data Analyst will maintain, validate, and reconcile finance data between SAP (FI/CO, AR, AP, GL) and a Snowflake data warehouse, build transform and modelling layers (dbt), and develop financial dashboards and reports (Power BI, Tableau, Sigma). The role collaborates with IT and Data Engineering, supports finance users and system upgrades, and focuses on automation, data governance, and data-driven financial decision-making.

Sardine is hiring a Senior Data Scientist to design, prototype, and productionize machine learning and graph analytics solutions for fraud and risk use cases. The role involves client-facing problem solving, metrics definition, dashboard automation, collaboration with engineering to scale models, and requires 7+ years of relevant data science or quantitative experience with strong Python/R and SQL skills.

Sardine is hiring a Senior Data Scientist to design, prototype, and deploy machine learning and graph analytics solutions to detect and prevent fraud. The role involves client-facing problem solving, production model deployment, metrics design and tracking, creating BI dashboards, and partnering with engineering and product teams. Location: remote (USA or Canada). Minimum 7 years of relevant data science or quantitative experience, with strong Python/R and SQL skills.

Prezi is hiring a Senior Data Analyst to join the Data Science & Analytics team (remote across listed European countries). The role involves end-to-end analyses (requirements, data processing, presentation), building dashboards and data products, defining metrics, quantifying impact, fostering self-service analytics, and collaborating with data engineering. Required: 5+ years in data/business analytics, proficiency in SQL and Python (or other scripting), experience with statistical analyses (funnel analysis, clustering, forecasting, recommender systems), dashboard building, strong English communication, and interest/experience in AI tools. Bonus experience: AWS, ETL pipelines, SaaS analytics, personalization/recommendation work.

Parexel is hiring a Senior/Principal Statistical Programmer (Clinical SAS) in South Africa. The role requires advanced SAS and statistical programming skills, experience leading statistical programming teams, knowledge of clinical trial reporting processes and relevant regulations (ICH-GCP, 21 CFR Part 11), and strong project management, communication and mentoring abilities. Minimum experience noted: ~3.5 years for Senior level and 5+ years for Principal/Lead roles.

Parexel seeks a Senior Associate with a Master's/PhD and at least 3 years' experience in pharma, consultancy, HTA/access, or academia. The role involves designing evidence-generation plans, conducting statistical analyses (e.g., GLMs, survival analysis, NMA, Bayesian methods), developing technical documentation and economic models, and contributing to cross-functional Access/HTA strategies. Proficiency in R and GitLab is required; familiarity with SAS, Python, WinBUGS, or JAGS is a plus.

Work as a Data Analyst intern on Mercari Group analytics projects, collaborating across teams to analyze product and marketing data, extract/aggregate data (SQL), provide insights, and propose improvements. Internship is domestic-only, requires Japanese proficiency (C1), English (A2), and candidates must be able to join Mercari as a new graduate in Oct 2027 or Apr 2028. Minimum commitment: 20 hours/week on weekdays for at least 2 months.

Lead the graduate hiring strategy across EMEA with a focus on talent science: build partnerships with top universities, run talent analytics and dashboards (using SQL), design and streamline hiring processes and assessments (including psychometrics), conduct behavioural interviews, train stakeholders, and support diversity & inclusion. Role is remote with required travel 2–4 times per year.

Canonical is hiring a mid‑to‑senior Talent Scientist (remote, EMEA) to drive talent analytics, conduct behavioural interviews, interpret psychometric assessments, build stakeholder relationships, streamline hiring processes, and produce data‑driven insights. Requires a psychology undergraduate/graduate degree, strong analytical skills (SQL; Python or advanced statistics preferred), experience in tech/consulting hiring, and willingness to travel 2–4 times/year for up to two weeks.

Remote EMEA graduate role focused on talent science and people analytics: implement hiring strategies, assess candidates with behavioural interviews and psychometrics, perform advanced analytics (SQL, Python), improve processes and documentation, support hiring stakeholders and company channels, and travel 2–4 times yearly for company events. Requires an undergraduate degree in psychology or related subject, academic excellence, exposure to talent topics (coursework, internship or first job), and professional English.

Canonical seeks a Financial Analyst to join the FP&A team to support monthly reviews, quarterly forecasting, annual planning, financial modeling, and analysis of commercial initiatives. The role requires strong analytical and presentation skills, proficiency with spreadsheets and financial modeling, understanding of accounting principles, and professional English; occasional travel (up to twice a year) is required.

Lead a team to design and implement talent analytics products and selection frameworks that connect hiring methods to performance outcomes. Requires 7+ years in a talent function, strong analytical skills (SQL or Python/R/SPSS), BI exposure (Superset), proven leadership, project management, coaching abilities, and exceptional written and spoken English. Role is remote (EMEA focus mentioned) with international travel 2–4 times per year.