(USA) Principal, Data Analyst

WalmartBentonville, AR
1d$90,000 - $180,000Onsite

About The Position

Role summary: Join the Merchandising Data and Analytics Enablement Team as a Principal Data Analyst, leveraging advanced analytics, data strategy, and data modeling expertise to drive impactful business insights. This role requires deep understanding of data quality, warehousing, and exploratory analysis to translate complex business challenges into actionable solutions. You will lead cross-functional initiatives and influence decision-making through compelling data storytelling. By aligning data-driven strategies with business objectives, you will contribute to optimizing operations and enhancing performance across multiple domains within the company. This position demands strong technical proficiency and strategic thinking to deliver measurable value. Do you love to solve puzzles? Have you ever wondered how Walmart acquires the best assortment to compete best in retail? We would love to put your data skills to the test and solve some of retail’s toughest problems when utilizing external data. About the team: Our team focuses on acquiring, deriving, and integrating external data to support Merchandising initiatives. We transform complex data into data products and actionable insights that contribute to Walmart’s long-term strategies. By leveraging advanced data analysis, data modeling, and quality management techniques, the team ensures data is accurate, accessible, and aligned with business needs. Collaborating across functions, we drive effective solutions that enhance decision-making and operational efficiency. The team values continuous improvement and applies innovative approaches to unlock the full potential of data assets, supporting Walmart’s commitment to delivering value and excellence.

Requirements

  • Extensive experience in data analysis, visualization, and exploratory data analysis using tools such as Python, SQL, GCP and Databricks.
  • Strong knowledge of data strategy, data quality management, and data warehousing principles to ensure data integrity and usability.
  • Proven ability to translate complex business requirements into actionable analytics solutions aligned with organizational objectives.
  • Expertise in statistical methods, data modeling, and big data technologies to support advanced business intelligence initiatives.
  • Excellent communication skills to present insights effectively and influence stakeholders.
  • Strong understanding of data modeling patterns (e.g., star schema, OBT), business and data quality analysis, and data engineering fundamentals.
  • Familiarity with syndicated external datasets (e.g., NielsenIQ, Circana) and publicly available data standards/frameworks (e.g., GS1).
  • Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field.
  • Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field.
  • 6 years' experience in data analysis, data science, statistics, or related field.

Nice To Haves

  • 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)

Responsibilities

  • Analyze complex business problems using advanced data analytics and automation techniques to identify root causes and recommend effective technology solutions.
  • Define key metrics and success criteria to measure progress and impact of data-driven initiatives.
  • Identify, assess, and validate data sources ensuring data quality and fitness for purpose across multiple business domains.
  • Translate business requirements into actionable data strategies aligned with organizational objectives.
  • Develop and deliver compelling data insights tailored to complex stakeholder needs.
  • Lead data quality management efforts to enhance business performance and compliance.
  • Collaborate with partner teams to gain alignment, adoption, and sustained impact from solutions built on complex external data.

Benefits

  • 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.
  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service