Senior Data Analyst

Iconma Portal•McLean, VA

1d•Hybrid

About The Position

The Senior Data Analyst will join the Card Data Management (CDM) organization, which serves as the risk steward for the organization’s data ecosystem and is accountable for data risk governance. The CDM team is building and improving its data governance control framework, with an emphasis on automation and preventative controls to support future data needs, including generative AI and new third-party data. Working with data analysts, risk managers, Card business units, and eData product teams, this individual will develop and improve data management controls and reporting in support of Card’s data strategy. The role involves hands-on analysis of large volumes of data in new and evolving environments, contributing to enterprise data products across the data life cycle, and helping advance sustainable, scalable, and well-managed data governance. The position is suited to a technically capable individual contributor who can work independently, communicate technical work to business stakeholders, and support transformational change through analytics, automation, and technical execution.

Requirements

Strong experience with Python; Python experience is required.
Strong experience with SQL; SQL experience is required.
Experience with Databricks; Databricks experience is required.
Experience with Snowflake; Snowflake experience is required.
Experience with QuickSight or Tableau; experience with one is required.
Strong data analysis background.
Strong communication skills.
Ability to work proactively and independently, including troubleshooting without close guidance.

Nice To Haves

Data management experience.
QuickSight experience is preferred.
Experience with PySpark and BI tools.

Responsibilities

Clearly communicate and translate technical work for business stakeholders.
Leverage AI tools to improve efficiency.
Troubleshoot and execute work independently and proactively.
Support current and future data strategy using advanced analytical skills.
Analyze large volumes of data in new and evolving environments.
Use analytics to support customer experience and future data growth and usage.
Contribute to enterprise data products across 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, develop, and continuously improve Card data management controls.
Independently execute processes to evaluate control effectiveness in adherence with the organization’s methodology.
Apply a strategic perspective to Card’s data footprint and develop technical improvements.
Build stakeholder relationships, gather requirements, and deliver insights.
Advance the Card data agenda by supporting sustainability, simplification, automation, ownership, accountability, transparency, and a stronger control ecosystem.