Senior Analyst - Business Intelligence

General information

Career area Consumer Analytics Work Location(s) 2911 Lake Vista Drive, TX Remote? No Ref # 21918 Posted Date 03-27-26 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

As a Business Intelligence Senior Analyst, you will develop high-impact data analytics, BI, and AI/ML solutions that directly drive business strategies. Partnering with senior management, you will engineer advanced performance insights and deploy scalable data solutions utilizing Snowflake and Python. This role focuses on building and monitoring robust reporting and modeling frameworks using SQL and Power BI to support the Auto Digital, Data Science, and Strategy Asset Management teams. Additionally, 1+ years of experience in data science, feature engineering, and ML engineering is preferable.

The Work Itself

 

• Lead the design, development, and support of business intelligence and analytics solutions for Ally’s Auto Digital, Strategy, and Asset Management teams.
• Plan, implement, and execute strategic initiatives to transform data capabilities across Strategy, Digital, and Data Science.
• Partner with senior leaders, product managers, strategy analysts, engineers (data/analytics/ML), and software developers to identify needs, gather requirements, and deliver impactful data and data science solutions.
• Mentor a team of business intelligence and data management analysts.
• Prioritize, plan, and drive data science projects from use-case identification through model implementation, deployment, and monitoring.
• Design, build, and maintain production-grade AI/ML solutions on major cloud platforms.
• Lead the design and delivery of executive and portfolio dashboards using tools such as Power BI, dbt, Snowflake, and Python.
• Develop analytical tools and data products for internal stakeholders using Python, Power BI, and related technologies.
• Act as a data product owner: prioritize data stories, manage sprints with data engineer