Senior Analyst - Business Intelligence

• 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 engineering and enterprise IT, and ensure high-quality data product delivery.
• Extract and integrate data from traditional warehouses, big data ecosystems, and cloud warehouses to support analytics, reporting, and modeling.
• Apply data warehousing principles to build reporting data marts in Oracle and cloud databases (e.g., Snowflake, Redshift).
• Utilize advanced SQL and Python to build data tables, models, and reports; design and maintain automated and self-service reporting solutions.
• Establish reusable feature stores, model registries, and experimentation frameworks to accelerate AI solution delivery for Model building
• Participate in the design and implementation of logical and physical data models.
• Ensure stability, performance, and support of production reporting; meet data demands across analytics teams.

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., * 3+ years experience in customer service or financial services industry

• Bachelor's degree in business related discipline, * Prior leadership experience is preferred.
• Ability to perform technical based activities.
• Knowledge of and exposure to fundamental theories, principles and concepts.
• Leveraging technical expertise and relationships to contribute to strategy and drive business results.
• Ability to produce documents, spreadsheets, databases, etc. with Windows-based software, as well as proficiency with the Internet, ideally this will include experience with Six Sigma-based software.
• Education: Bachelor's degree in engineering, Computer Science, Business, or related field
• Industry experience: 5+ years in Consumer Finance or related industry
• Data visualization/BI: 3+ years with Power BI or similar BI tools
• Databases and data warehousing: 5+ years with relational and cloud data warehouses (Oracle, Teradata, Hadoop, Snowflake, Redshift)
• SQL: 5+ years writing complex/advanced SQL and PL/SQL; data layer curation
• Programming/Scripting: 3+ years with Python or R; scheduling scripts to automate data pipelines
• Data extraction/analysis: 3+ years using SQL/Python across various warehouses
• Cloud platforms: Experience with AWS; 1-2 years in Snowflake; Snowflake/AWS environment exposure a plus
• Data architecture: Functional knowledge of data architecture patterns; strong understanding of data warehousing
• AI/ML: Strong foundational knowledge of data science and feature engineering is a plus.
• Analytics and problem solving: Strong analytical drive; ability to break down complex problems and deliver results
• Communication: Excellent verbal/written communication; can present complex quantitative data clearly; effective with business and technical stakeholders
• Ways of working: Quick learner; critical thinker; able to initiate and execute small to medium projects; collaborates well across technical and non-technical teams
• Adaptability: Comfortable with ambiguity, competing objectives, tight deadlines, and fast-paced environments

Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including:

• Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level).
• Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access.
• Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.
• Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts.
• Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers® program and other employee discount programs.

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?, Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit www.ally.com. Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law. We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at hrpolicy@ally.com. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation. Base Pay Range: $85000 - $150000 USD An individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer. Incentive Compensation: This position is eligible to participate in our annual incentive plan.