Lead Data Analyst
Wise · Tallinn
Description du poste
About the role
Wise is looking for a Lead Data Analyst in Tallinn to partner with its operational teams and help drive data-driven decisions that support its fast-growing product. The role drives analytics for operations teams that support customers, screen for criminal activity and verify customer identities at scale, working closely with operational leads, workforce management, quality, training and knowledge management. It is an IC3 role.
Key responsibilities
- Analytical capacity planning and forecasting: build and refine models for strategic capacity planning and own forecasting aligned with business growth.
- Data pipeline ownership: maintain and improve data flow, ensuring reliability and accuracy.
- Predictive modeling and cause-and-effect analysis: develop models to predict outcomes and identify key drivers to optimise processes.
- Strategic support: assess the operational health of the KYC/FinCrime function, run cost analysis and analyse operational metrics including quality.
- Performance tracking: monitor key strategic initiatives and optimise operational outcomes.
- KPI implementation: lead the operations KPI tree and target-setting framework, integrated into reporting pipelines.
- Stakeholder collaboration: standardise processes across forecasting, scheduling and real-time operations.
Required profile
- 4+ years of analytics experience with a strategic approach to complex problems.
- Background in operational analytics including capacity planning, forecasting, efficiency analysis, quality assurance, predictive analytics and experimentation.
- Experience with complex data models in SQL (Snowflake warehouse) and advanced SQL/Python/R to tell a story and guide strategy.
- Experience with data visualisation tools such as Looker, PowerBI or Tableau.
- A bias to action and a quantitative mindset (distributions, variance, significance).
- Nice to have: prior operation domain experience, WFM or quality team experience, WFM systems experience, and forecasting techniques such as ARIMA, Holt-Winters and time series analysis.
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Wise
Tallinn