Lead the design and delivery of end-to-end analytics solutions, from raw data acquisition and transformation through to dashboarding, business insight generation, and user adoption
Translate complex business questions into scalable data, reporting, and analytical solutions
Ensure analytics outputs are accurate, well-governed, and aligned with business priorities
Work with raw and curated data from multiple internal and external sources to create scalable, high-quality datasets for reporting and analysis
Write and optimize SQL queries in Snowflake and other cloud-based environments
Partner with data engineering and data squad teams to improve data pipelines, controls, and analytical data models
Lead the design and implementation of high-impact Power BI dashboards for portfolio managers, actuaries, finance, risk, and senior leadership
Develop forecasting and modeling solutions to support business needs, including balance sheet analysis, inflow/outflow projection, and related decision-support analytics
Partner with senior stakeholders across investment, actuarial, finance, risk, and product teams to identify opportunities where analytics can drive better decision-making
Help build a strong analytics culture grounded in curiosity, ownership, and practical problem-solving.

Bachelor’s degree in quantitative fields such as Finance, Mathematics, Statistics, Actuarial Science, Engineering, Computer Science, Economics, or related discipline
Master’s degree in a quantitative, financial, or analytical field is strongly preferred
3+ years of relevant experience in analytics, business intelligence, quantitative analysis, data engineering, financial modeling, or a related field
Experience in investment, insurance, asset management, treasury, banking, or other financial services environments is strongly preferred
Demonstrated experience delivering end-to-end analytics solutions and working directly with senior business stakeholders
Experience leading projects, workstreams, or teams in a cross-functional environment
Advanced Power BI capabilities, including data modeling, DAX, report design, and Power Query
Strong SQL skills, ideally in Snowflake or similar cloud-based database platforms
Hands-on experience with Python for data analysis, automation, forecasting, or modeling
Strong understanding of structured financial data, time-series analysis, and large-scale datasets.

A comprehensive Total Rewards package that prioritizes your overall wellbeing, including flexible and modern benefits, competitive compensation and stock options
Opportunities to innovate and grow
Supportive, inclusive team and company
Leaders invested in your success

Manager, Data Analytics

Key skills