Data Analyst - Hybrid

Genesis10•McLean, VA

3d•Hybrid

About The Position

Genesis10 is seeking a Data Analyst for a 12+ month contract with a major financial institution in Richmond, Virginia, or McLean, Virginia. The position supports the client's Card Data Management (CDM) organization, which serves as the risk steward for a well-managed data ecosystem. The team is building a data governance control framework, with an emphasis on automation and preventative controls to prepare for future data needs, including generative AI. The analyst will work with large volumes of data in evolving environments, use analytics to support data strategy and customer experience, and contribute to enterprise data products across their full life cycle. The role involves developing and improving data management controls, evaluating their effectiveness, collaborating with stakeholders and product teams, and communicating technical insights to business partners. The pay range is $38.19–$46.19 per hour. Candidates must be available to work directly as Genesis10 employees. For contract roles, Genesis10 lists behavioral health platform access; medical, dental, and vision coverage; a health savings account; voluntary hospital indemnity coverage for critical illness and accidents; voluntary term life insurance; 401(k); sick pay in applicable states or municipalities; and commuter benefits in Dallas, New York City, San Francisco, and Illinois.

Requirements

Experience with Python, SQL, PySpark, and Databricks.
Proficiency with business intelligence tools; QuickSight is preferred.
Ability to communicate clearly and translate technical work for business stakeholders.
Experience leveraging AI tools to improve efficiency.
Proactive approach and ability to troubleshoot independently without micromanagement.

Nice To Haves

Experience with QuickSight.

Responsibilities

Support current and future data strategy using advanced analytical skills.
Work hands-on with large amounts of data in new and evolving environments.
Use analytics to create a compelling customer experience that enables future data growth and usage.
Contribute to enterprise data products through the full data life cycle.
Collaborate across Card business units and eData product teams.
Share technical expertise and best practices with the broader analytical team.
Design and continuously improve data management controls, and independently execute processes to evaluate their effectiveness.
Apply a strategic mindset to the data footprint and develop technical improvements.
Build relationships and collaborate with key stakeholders to gather requirements and deliver insights.