Senior, Data Analyst
Walmart
What you'll do at
Position Summary...
What you'll do...
Summary:
As a Senior Data Analyst, you will play a pivotal role in managing and optimizing Walmart Data Ventures' technical and business data assets. Your primary responsibility will be to ensure data accuracy, consistency, and accessibility across the organization. Collaborating with cross-functional teams—including Data Stewards, Analysts, Product Managers, Engineers, and Scientists, you will help design, implement, and maintain data solutions that meet business needs and support data-driven decision-making.
Key Responsibilities:
- Analyze product use cases, identify optimal data sources, and profile data for accuracy, completeness, and consistency.
- Partner with data modelers to design data structures, mappings, and transformations, ensuring alignment with business requirements and reconciling data post-implementation.
- Collaborate with Data Stewards and Security teams to enforce consistent data policies and standards organization-wide.
- Work with the data quality team to define and implement data quality rules.
- Develop automated, reusable frameworks and reports/dashboards using Python, SQL, and related tools for data analysis and reconciliation.
- Advise on data architecture, including column data types and scalable design.
- Validate and sign off on data assets post-implementation by Data Engineers.
- Interpret and document code (SQL, Scala, PySpark, Python, ETL) and data lineage at a high level.
- Create and validate data mappings, document data lineage, and maintain comprehensive metadata.
- Support business data stewards, analysts, and support teams in understanding data design and resolving data issues.
- Document all stewardship activities in enterprise data catalog and metadata management tools.
- Guide stakeholders and junior associates on data governance best practices and regulatory compliance.
- Promote organizational adoption of data management practices and educate teams on data accountability.
Qualifications:
- Bachelor’s degree (Business Administration, Computer Science, Information Systems, Data Science) with 6+ years of experience, or Master’s degree with 4+ years in data management roles (Data Steward, Data Engineering, Data Analyst, Data Science, BI, ETL, etc.).
- 4+ years of advanced SQL experience, including stored procedures, nested queries, and advanced functions.
- 4+ years working with databases, data warehouses, or big data platforms (e.g., SQL Server, Oracle, Teradata, Hive, Presto, BigQuery, Redshift, Synapse, Snowflake).
- 4+ years with data visualization tools (Power BI, Tableau, etc.).
- 2+ years with ETL/Cloud/Big Data tools (Informatica, SSIS, Spark, Hive, Airflow, etc.).
- 2+ years of experience in Python or similar object-oriented programming languages.
- Strong understanding of data governance, data management best practices, and tools (e.g., Collibra, data catalog, lineage, metadata management).
- Familiarity with software product lifecycles, data architecture, and agile methodologies.
- Knowledge of business domains such as Finance, Supply Chain, Sales, and Marketing, including key KPIs.
- Experience with datasets like retail, POS, basket , consumer insights, or syndicated data providers is a plus.
Live our Values:
Culture Champion - Models the Walmart values to foster our culture; holds oneself accountable; and supports Walmart's commitment to communities, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics, and compliance.
Servant Leadership - Is consistently humble, self-aware, honest, and transparent.
Deliver for the Customer - Customer Focus - Delivers results while putting the customer first and applying an omni merchant mindset and the EDLP and EDLC business models to all plans.
Embrace Change:
Curiosity & Courage - Demonstrates curiosity and a growth mindset; supports innovation and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change - Implements and supports continuous improvements and willingly embraces new digital tools and ways of working.
Deliver for the Customer:
Strategic Thinking - Adopts a broad perspective that considers data, analytics, customer insights, and different parts of the business when making plans.
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.
For information about PTO, see https://one.walmart.com/notices.
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.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $80,000.00-$155,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 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. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, 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)
