Key Responsibilities
Own ad-hoc analytical requests within a defined scope delivering fast reliable and well-documented outputs.
Translate business and product questions into clear analytical goals queries metrics and KPIs.
Build and maintain dashboards visualizations and alerts that enable self-service decision-making.
Optimize SQL queries and data processing in BigQuery for performance and cost.
Design and maintain scalable data layers and models in BigQuery to support AI agents self-service BI and product/operational monitoring.
Lead end-to-end analytical workflows: scoping extraction analysis validation and presentation.
Monitor key processes and metrics proactively surfacing anomalies and opportunities.
Collaborate with Product Data Engineering and business teams on tracking data contracts and data quality ensuring consistent well-documented data.
Have you done this kind of stuff
24 years as a Product/Data/Business Analyst (fintech a plus) and a relevant bachelors degree.
Strong SQL with hands-on BigQuery experience including optimizing complex queries and data processing.
Experience designing analytics data models/layers and working with large event-level datasets.
Proficient in BI and visualization tools (e.g. Looker Power BI Tableau) and building stakeholder-facing dashboards.
Proven ability to define/track KPIs translate ambiguous business questions into structured analysis and communicate insights clearly.
Interest or experience in building data foundations for AI-driven and self-service analytics; Python is a plus.
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Required Experience:
IC
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