Data Analytics Trainer:in designing hybrid training formats in Berlin. Empowering women in Data & Tech, focusing on practical skills and certifications.
About the role
- Product Analytics Analyst at Marsh partnering with teams to deliver broker-facing insights. Responsible for running analysis, building models, and prototyping dashboards to improve client outcomes.
Responsibilities
- Partner with brokerage, client executives, and product teams to deliver broker-facing insights
- Run hands-on analysis, build and validate models, and prototype dashboards
- Translate broker workflows into analytics requirements and produce actionable deliverables
- Work closely with engineers to operationalise models and measurement
Requirements
- Bachelor’s degree in a quantitative or analytical discipline (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering) OR equivalent practical experience
- 2–6 years in analytics/data science roles with demonstrable hands-on modelling experience
- Python — Intermediate to Advanced (pandas, scikit-learn, xgboost/lightgbm; testable scripting and notebooks)
- Statistical modelling — Intermediate (classification/regression, feature engineering, cross-validation, calibration)
- BI & visualisation — Intermediate (Looker/Tableau/Power BI: prototype dashboards and deliverable-ready visualisations)
- Data warehousing — Familiar to Intermediate (Snowflake / BigQuery / Redshift; understand schemas, partitioning)
- Familiar with ETL / transformation.
- Familiar with MLOps exposure (experience packaging models, basic CI/CD, model monitoring concepts); not required to deploy end-to-end alone.
Benefits
- Hybrid work environment
- Commitment to diverse and inclusive work environment
- Collaboration and professional development benefits
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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