Finance Data Analyst

GEICO•Chicago, IL

1d•$86,100 - $133,250•Hybrid

About The Position

The Senior Finance Data Analyst partners with Finance, Business Operations, and Technology teams to deliver high‑quality analytics and business intelligence that enable data‑driven decision‑making. This role translates financial and operational needs into actionable data solutions, supports data governance initiatives, and continuously improves reporting processes to enhance efficiency, accuracy, and scalability. This individual will lead complex analytics, mentors others, and drives improvements in financial data quality, scalability, and insight generation. Leads cross‑functional or multi‑domain initiatives, impacts multiple teams or Finance sub‑domains, and serves as a trusted advisor to Finance leadership on data and reporting.

Requirements

Bachelor’s degree in Finance, Accounting, Economics, Mathematics, Data Science, or a related field.
Experience working with financial data and systems in a data analyst, business analyst, or similar analytical role.
Proficiency in data querying and analysis using SQL, Python, or comparable tools.
Experience developing dashboards and reports using business intelligence and data visualization tools (e.g., Power BI, Tableau, Looker, or similar).
Experience working with ERP systems and financial data structures.
Strong written and verbal communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
Demonstrated problem‑solving skills and attention to detail.

Nice To Haves

Experience in planning and/or project management.
Property & Casualty (P&C) insurance industry experience.

Responsibilities

Lead design of complex financial data models and analytics
Partner with Finance, Product, and Technology stakeholders on transformation initiatives
Establish best practices for reporting, validation, and documentation
Mentor Analyst I and II team members
Proactively identify data gaps, risks, and improvement opportunities
Respond to ad hoc financial data and reporting requests, ensuring accuracy, consistency, and timely delivery.
Evaluate, streamline, and optimize manual processes and legacy reporting to improve efficiency, data integrity, and scalability.
Act as a liaison between finance, business operations, and technology teams to address evolving business challenges and enable effective data solutions.