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People Analytics Lead / Data Scientist

Confidential company · Hamburg · Posted Sep 15, 2026

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Public summary

A leading fintech company is seeking a People Analytics Lead / Data Scientist to transform workforce data into strategic insights. This role involves advanced statistical analyses to guide HR and business decisions, developing analytical products, and ensuring data quality and security. The ideal candidate combines strong data science expertise with business understanding, working in a consultative role that impacts organizational strategy.

Location and work setup

Location
Hamburg
Remote status
Hybrid
German requirement signal
No German Required Detected
Detected job language
Portuguese

Responsibilities

Perform statistical and predictive analyses related to people and business metrics to guide decision-making and strategy. Monitor key HR indicators and model deviations from targets. Establish governance for HR metrics, including documentation and validation. Develop training materials to empower users of analytical tools and products. Conduct market research and benchmarking to identify trends and improve HR initiatives. Ensure integrity, accuracy, and security of all data and analyses.

Qualifications

Proven experience in statistical inference applied to business problems, including hypothesis testing and confidence levels. Expertise in experimental design and causal inference methods such as RCT and quasi-experiments. Proficiency in multivariate statistical modeling and predictive analytics, including regression, survival analysis, and time series. Advanced skills in Excel and at least one BI tool (Power BI, Tableau, Looker). Strong programming skills in SQL and/or Python for data manipulation. Knowledge of machine learning, deep learning, and generative AI. Ability to handle and interpret large heterogeneous datasets simultaneously.

Skills

statistical analysis predictive modeling data visualization SQL Python Power BI Tableau Looker machine learning deep learning generative AI experiment design causal inference data governance training and documentation business insight analysis