Analyst - Data Management

General information

Career area Technology Work Location(s) 2911 Lake Vista Drive, TX Remote? No Ref # 21637 Posted Date 02-02-26 Working time Full time

Ally and Your Career

Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need.

The Opportunity

At this time, Ally will not sponsor a new applicant for employment authorization for this position. Are you passionate about data management and data analytics? Do you possess first-hand experience in cloud technologies, data warehousing, data integration? Do you believe in modern software development methods, teamwork, creativity, and collaboration within a diverse development environment to produce the next generation of data - analytics platforms and services?

If so, then we are interested in talking to you! Ally is seeking an Analyst - Data Management within Ally's data technologies development and management space. The ideal candidate will have personal experience implementing data lakes, data analytics, and master data management solutions, including data ingestion, data homogenization - data preparation, data quality checking and management, structured and unstructured data processing, and analytics engineering.

Experience with modern self-service data capabilities, data management and governance, data modeling architecture is also a plus.  Candidates having strong analytical skills, hands on development experience, strong SQL skills, ability to multi-task, and strong verbal and written communication skills will be best suited for the team.

The Work Itself

• Responsible for developing curated semantic layers for the auto business to support analytics engineering and AI product enablement
• Develop and maintain pipelines; partner with data engineering to deploy to Oracle and Snowflake.
• Apply data warehousing principles to design reliable, performant models.
• Extract and reconcile data from traditional and cloud warehouses for executive and operational insights.
• Create clean, tested, well-documented data layers to power AI use cases (Cortex s