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🚀Walmart Global Tech Hiring: Senior Data Analyst | Bangalore | 2–6 Years | Deadline is October 23, 2026 |

By: Rohit BARAHATE

On: October 11, 2026

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Walmart Global Tech is hiring a Senior Data Analyst for its International Analytics team in Bangalore, offering an opportunity for analytics professionals who enjoy solving business problems through data. The role focuses on product analytics, SQL, statistical analysis, experimentation, and turning complex datasets into recommendations that influence product and business decisions. Candidates with 2–5 years of analytics or product analytics experience, strong SQL skills, knowledge of A/B testing, and the ability to collaborate with product, engineering, and business teams should consider this opening.


📌 Job Overview

  • Company: Walmart Global Tech
  • Job Title: Senior, Data Analyst
  • Job Requisition ID: R-2648862
  • Location: Bangalore, Karnataka, India
  • Team: International Analytics – India
  • Experience: 2–6 years in the detailed description; hiring announcement highlights 2–5 years
  • Employment Type: Full-time
  • Work Arrangement: Listed as Bangalore Home Office; confirm the applicable working arrangement with the recruiter
  • Application Deadline: October 23, 2026
  • Primary Skills: SQL, product analytics, statistical analysis, A/B testing, business insights, stakeholder communication
  • Additional Skills: Python, R, AI/GenAI tools, experimentation design, data cleaning, metric development

🏢 About Walmart Global Tech

Walmart Global Tech is the technology organisation supporting Walmart’s retail operations, digital experiences, and business capabilities through engineering, data, analytics, and technology solutions. Walmart operates across a broad international business landscape, creating opportunities to use data to understand customer behaviour, improve digital products, and support business decisions. This role belongs to the International Analytics team in India. Analysts may work across customer engagement, digital experience, marketing, merchandising, supply chain, financial services, and operations. The goal is not simply to produce dashboards or reports; it is to uncover patterns, test hypotheses, identify opportunities, and help product and business leaders make better decisions.


💼 Key Responsibilities

  • Define product metrics and identify opportunities to improve customer experience and business performance.
  • Analyse large datasets using SQL and relevant statistical or scripting tools.
  • Design, execute, and interpret A/B tests and other experiments.
  • Develop hypotheses, investigate changes in product performance, and recommend evidence-based actions.
  • Clean and combine data from different sources to answer business questions.
  • Present insights clearly in business reviews and leadership discussions.
  • Develop analytical methods and strengthen the organisation’s experimentation culture.

⭐ Why Is This Role Good for Experienced Professionals?

This position is ideal for analysts who want to progress from routine reporting toward product decision-making and business impact. It offers exposure to experimentation, statistical reasoning, metric design, and cross-functional collaboration rather than limiting the role to dashboard maintenance. Working across international business areas can help analysts understand different customer journeys and operational challenges. The role also provides an opportunity to develop stronger communication skills by explaining technical findings to non-technical stakeholders and influencing product priorities.


🧠 Skills Required

  • SQL: Joins, CTEs, subqueries, aggregations, window functions, date logic, and query optimisation.
  • Product analytics: Conversion rates, retention, engagement, funnel analysis, customer behaviour, and product performance metrics.
  • Statistics: Hypothesis testing, confidence intervals, statistical significance, sampling bias, and correlation versus causation.
  • A/B testing: Experiment design, control and treatment groups, success metrics, sample size considerations, and interpretation of results.
  • Business communication: Presenting findings, explaining trade-offs, and converting insights into actionable recommendations.

🎯 Preparation Tips

  • Practise SQL case studies: Solve questions involving customer retention, purchase funnels, repeat transactions, campaign performance, and month-over-month trends.
  • Prepare an A/B testing case: Explain how you would test a new checkout flow, select the primary metric, define guardrails, and decide whether the experiment should be rolled out.
  • Understand product metrics: Be prepared to distinguish leading indicators from business outcomes and explain how a metric can improve while customer experience worsens.
  • Practise root-cause analysis: If conversion drops suddenly, outline how you would segment the data by device, geography, traffic source, customer type, and product version.
  • Show business impact: Structure project explanations around the problem, analysis, insight, recommendation, and measurable result.

🗣️ Expected Interview Rounds

  1. Recruiter screening: Experience, role fit, communication, and career goals.
  2. SQL assessment: Query writing, joins, aggregations, window functions, and analytical problem-solving.
  3. Analytics and statistics round: Product metrics, A/B testing, hypothesis testing, and business case studies.
  4. Stakeholder or hiring manager round: Explaining insights, influencing decisions, prioritising opportunities, and communicating trade-offs.
  5. Final discussion: Team fit, compensation, availability, and employment details. The actual process may vary.

💰 Expected Salary Range

The listing does not disclose compensation. As an unofficial planning estimate, a broad range of ₹12–24 LPA may be worth investigating for a Senior Data Analyst with 2–6 years of relevant experience in Bangalore. Actual compensation depends on analytical depth, interview performance, internal level, and existing experience; this is not a confirmed Walmart salary band.


📄 Resume Tips

  • Highlight SQL, Product Analytics, A/B Testing, Statistical Analysis, and Business Insights near the top.
  • Quantify results where possible: conversion improvement, revenue impact, reduced reporting time, or better retention.
  • Include examples of experiments you designed or analysed, with your role and the business decision they supported.
  • Mention Python/R and visualisation tools only where you have practical experience.

📩 How to Apply

👉 Application Link: Click Here

Apply through the official Walmart Global Tech application listing for Senior, Data Analyst — R-2648862. Submit an updated resume highlighting SQL proficiency, experimentation, product metrics, and measurable business outcomes. The stated deadline is October 23, 2026, so apply before the closing date.


Rohit BARAHATE

Rohit BARAHATE is a Quality Engineering Specialist with 4.6+ years of experience in the IT industry. With a network of over 123K+ LinkedIn connections and actively supports job seekers by sharing referral opportunities and guiding them toward successful careers.

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