Job summary
Job post source
This job is directly from Ally Financial
Job overview
The Senior Analyst, Advanced Business Analytics at Ally Financial focuses on developing and deploying data-driven pricing strategies to optimize vehicle remarketing performance across multiple channels.
Responsibilities and impact
The role involves managing priorities, collaborating with cross-functional teams, acting as a technical expert on pricing logic and data pipelines, building reporting solutions, supporting model validation, and developing scalable data pipelines and pricing models.
Compensation and benefits
The position offers a base pay range of $85,000 to $150,000 USD, annual incentive bonuses, comprehensive health insurance, retirement plans including 401K with matching, tuition reimbursement, employee stock purchase plan, paid time off, and various family and wellness benefits.
Experience and skills
Candidates need a bachelor's degree in computer science, statistics, economics, or related field (master's preferred), 3+ years of analytics experience preferably in auto finance or pricing, proficiency in Python (Pandas, NumPy, Snowpark), Snowflake, SQL, and experience building data models and ETL workflows; Power BI and agile experience are a plus.
Career development
Ally emphasizes professional growth with opportunities to stretch skills, learn new things, and evolve career paths through various employee resource groups and development programs.
Work environment and culture
Ally values work-life balance, diversity, inclusion, and employee well-being with flexible work schedules including on-site, hybrid, or remote options, and a supportive environment focused on health and safety.
Company information
Ally Financial is a leading digital financial services company known for customer-centric innovative financial solutions and a commitment to doing business ethically and inclusively.
Team overview
The candidate will join the Remarketing Pricing team, working cross-functionally with business, analytics, and technology partners to develop pricing engines and data pipelines.
Job location and travel
Work schedule can be fully on-site, hybrid, or fully remote depending on manager discretion and business needs, with specifics discussed during hiring.
Unique job features
The role is distinguished by its technical focus on Python, Snowpark, Snowflake, and Power BI, involvement in modernizing legacy systems, and responsibility for production-grade pricing strategy deployment across multiple remarketing channels.
Company overview
Ally Financial Inc. is a leading digital financial services company that offers a wide range of financial products including online banking, auto financing, mortgage services, and investment options. They generate revenue primarily through interest on loans, fees for services, and investment income. Founded in 1919 as GMAC, the company rebranded to Ally in 2010, emphasizing its commitment to digital innovation and customer-centric services. Ally is known for its user-friendly online platform and competitive rates, making it a significant player in the financial services industry.
How to land this job
Position your resume to highlight your strong technical expertise in Python (Pandas, NumPy, Snowpark), Snowflake, SQL, and Power BI, emphasizing your ability to build scalable data pipelines and pricing models relevant to vehicle remarketing.
Emphasize your experience in developing production-grade code, refactoring legacy pricing logic, and collaborating cross-functionally to align pricing tools with business goals, showcasing problem-solving and communication skills.
Apply through multiple channels including Ally’s corporate careers page and LinkedIn to maximize your visibility and application reach for the Senior Analyst, Advanced Business Analytics role.
Connect with professionals in Ally’s Remarketing Pricing or Advanced Business Analytics teams on LinkedIn; use ice breakers like commenting on recent Ally innovations in pricing strategies or asking about team culture and growth opportunities.
Optimize your resume for ATS by incorporating keywords from the job description such as 'pricing algorithms,' 'data pipelines,' 'Snowpark Python,' 'production-grade code,' and 'cross-functional collaboration' to ensure your resume passes automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify relevant job portals, and discover LinkedIn connections, allowing you to focus your energy on preparing for interviews and networking effectively.
Jennie Johnson works for you!
Here’s what we do to make sure you’re successful:
Targeted Resume Revamp:
We expertly craft your resume to navigate Applicant Tracking Systems (ATS) and showcase your qualifications, making you stand out as a top-tier candidate.
Job Description Dissection:
Unpack the job posting with expert analysis, ensuring your application hits every key requirement.
Bespoke Cover Letter:
Capture the attention of hiring managers with a personalized cover letter that highlights how your skills align perfectly with the job's needs.
Interview Mastery:
Prepare for interviews like a pro with likely questions, strategic answers, and insightful questions for you to ask, setting you apart as an informed candidate.
Direct Application Insights:
Receive tailored advice on the best places to apply, ensuring your applications are seen by the right employers.
Skills and Gaps Assessment:
Identify and close critical skills gaps to position yourself as the best-fit candidate for your ideal job.
Personalized Email Pitch:
Make a memorable first impression with an email template crafted to engage potential employers and initiate meaningful conversations.
In-depth Research Guide:
Leverage comprehensive research tools to gather effective insights on companies, industry trends, and role-specific challenges.
Detailed Company Analysis:
Gain in-depth understanding of your prospective employer, giving you the edge in applications and interviews.
Strategic Candidate Overview:
Understand your unique value and why companies would want to interview you, highlighting your background and positioning.