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Walmart

Senior Data Analyst

Walmart

. Define product metrics, measurement frameworks and analytical roadmaps to identify opportunities for improving products and business outcomes .

Posted 10/8/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product analytics, leveraging SQL and Python to analyze complex datasets and drive actionable insights. Skilled in statistical analysis, experimentation, and effective communication with cross-functional teams to influence business decisions.

Highest-signal resume keywords
SQL ProficiencyPython ProficiencyStatistical AnalysisProduct Analytics ExperienceAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisStatistical ToolsA/B TestingData TransformationQuantitative Analysis
Soft Skills
Excellent CommunicationCollaborationInfluencing Decisions
Tools & Technologies
AI ToolsGenerative AI Tools
Certifications & Qualifications
Bachelor's Degree in StatisticsBachelor's Degree in Computer ScienceBachelor's Degree in Business AdministrationMaster's Degree in Related Field
Industry Keywords
High-Growth AnalyticsProduct DevelopmentData-Driven Environment

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Define product metrics, measurement frameworks and analytical roadmaps to identify opportunities for improving products and business outcomes
  • Analyse large and complex datasets to uncover patterns, identify root causes and translate findings into actionable recommendations
  • Use quantitative analysis to understand customer behaviour, product performance and business results
  • Partner with product leaders, designers and engineering managers to evaluate opportunities and prioritize initiatives based on impact
  • Conduct analytical deep dives to identify business problems, opportunities and required actions
  • Collect, process and analyse data from multiple sources using SQL, Python, R or other analytical and statistical tools
  • Design, execute and analyse A/B tests and drive analytical rigor and experimentation culture
  • Develop analytical methodologies and scalable approaches for complex product and business problems
  • Communicate insights through business reviews, presentations and executive discussions
  • Represent the Product Analytics team in stakeholder meetings and business reviews
  • Leverage AI and Generative AI tools to automate workflows and enhance analytical productivity
  • Use analytics to drive measurable business impact
  • Collaborate with product, engineering and business leadership teams to transform product and business data into actionable insights

Requirements

What you’ll need
  • 6+ years of experience working in a high-growth analytics, product analytics or related data-driven environment
  • Bachelor's degree in Statistics, Computer Science, Business Administration or a related field
  • Strong proficiency in SQL and Python, including independently querying, transforming and analysing complex datasets
  • Good understanding of statistical analysis, experimentation and common pitfalls in data interpretation
  • Experience in product analytics and working with product development teams is preferred
  • Strong analytical and problem-solving skills
  • Ability to translate ambiguous business questions into structured analyses
  • Excellent written and verbal communication skills
  • Ability to communicate complex insights to technical, business and executive stakeholders
  • Ability to collaborate effectively with cross-functional teams and influence decisions through data and insights
  • Minimum qualification alternative: Bachelor's degree plus 2 years' experience in data analysis, data science, statistics or related field
  • Minimum qualification alternative: Master's degree in a specified or related field
  • Minimum qualification alternative: 4 years' experience in data analysis, data science, statistics or related field

Benefits

Comp & perks
  • Incentive awards for performance
  • Maternity and parental leave
  • PTO
  • Health benefits