Director, Data Analytics - Financial Services

Director Of Data Analytics

Join us as the Director of Data Analytics, where you'll lead transformative analytics initiatives across our financial services business. In this high-impact role, you'll turn complex datasets into actionable insights and partner with senior leaders to drive business strategy. This is a unique opportunity to shape data-driven decision-making and scale analytics practices in a dynamic, growth-focused environment.

About the Team: Our analytics team operates at the intersection of product, finance, and engineering, collaborating to deliver strategic insights that power business growth. We are passionate about leveraging data to solve complex challenges and drive measurable results. As a key leader, you'll help set the vision for scalable analytics and ensure our data practices align with company goals.

What You'll Do

• Analyze large, complex financial datasets to identify trends, opportunities, and actionable insights.
• Collaborate cross-functionally with product, finance, and engineering stakeholders to inform business strategy.
• Oversee the design and execution of experiments, data pipelines, and scalable analytics solutions.
• Build and maintain executive dashboards using Tableau or Power BI.
• Identify and validate data sources, ensuring data quality and fit-for-purpose analytics.
• Formulate and solve business problems using advanced analytics, automation, and big data techniques.
• Mentor team members and engage with the external analytics community to advance best practices and innovation.

What You'll Bring:

• Bachelor's degree in a STEM field (Master's or MBA preferred).
• 8+ years of experience in analytics, with a focus on financial services or fintech.
• Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL (large datasets, optimization).
• Expertise in dashboard design and data visualization using Tableau or Power BI.
• Strong analytical, problem-solving, and communication skills.
• Experience with data quality assessment, data governance, and scalable data management.
• Ability to challenge business assumptions, quantify business impact, and influence data strategy across functions.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

The annual salary range for this position is $110,000.00-$220,000.00. Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

• Stock

Minimum Qualifications

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 5 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in data analysis, data science, statistics, or related field. Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience.

Preferred Qualifications

Data science, data analysis, statistics, or related field, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experience.

Primary Location

703 Associate Drive, Bentonville, AR 72716, United States of America