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Senior, Data Analyst - job 1 of 7

Position Summary...

As the Senior Data Analyst, Product Analytics, Marketplace Analytics & Data Science, you will be part of the team with an aim to evaluate the effectiveness and efficiency of the Marketplace platform.  Your focus will be to support the Product team as they prioritize and build capabilities and tools to allow Sellers to both sell and ship products to Customers.  

What you'll do...

About Team

As the Senior Data Analyst, Product Analytics, Marketplace Analytics & Data Science, you will be part of the team with an aim to evaluate the effectiveness and efficiency of the Marketplace platform.  Your focus will be to support the Product team as they prioritize and build capabilities and tools to allow Sellers to both sell and ship products to Customers.  

You will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap across the entire Product Lifecycle by leveraging state of the art analytics tools (i.e. SQL/Hive/Hadoop/Cloud, Mixpanel, Quantum Metrics, Tableau/ThoughtSpot/Looker, etc.).  Key projects include supporting Product Discovery, providing business impact Sizing, assessing the performance of Product Features, and understanding Seller Behavior through Clickstream Analytics.  This role is highly visible since you must work cross functionally with Product, Engineering, Business, and Operations.  Given the size and scale of Walmart and the advanced capabilities being built by Product for Marketplace this position will have a significant impact.

What You Will Do

  • Serve as thought leader and trusted advisor to Product leadership and the larger product management team by collaborating with them through the entire product lifecycle from discovery, A/B testing, to post launch insights and learnings.
  • Demonstrate proactive, solution-oriented thought leadership -- you are always looking ahead to what's coming next, you solve problems within and outside of your core area, and you are comfortable actively influencing leaders to ensure you drive key decisions and priorities.
  • Proactively identify product opportunities within and beyond product ownerships areas through a hypothesis driven culture and data driven deep dives
  • Responsible for organizing and assembling the resources, technology, and processes to support the Product Analytics needs ofthe Marketplace Product teams. Successfully work with cross functional group consisting of Product, Engineering and Business to drive data based decisions. 
  • Interface with product & business stakeholders across geographies to proactively identify opportunities, develop business acumen, cultivate stakeholder relationships & develop best in class data analytics solutions. Define the product engagement data capture strategy and collaborate with Engineering to ensure the accuracy of the data.
  • Have an strong understanding of various data sources and how to organize and utilize them to deliver critical insights to the broader organization.
  • Leverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, impact sizing to influence decision-making. Extensive hands-on experience with SQL to query from different databases
  • Define and monitor KPIs to measure product performance and monitoring product health.
  • Create effective reporting and dashboards by applying expertise in data visualization tools such as Mixpanel, Quantum Metric, Looker/Tableau, and Splunk to monitor product performance.
  • Design and execute A/B tests, observational inference, predictive analytics  to identify and quantify the impact of new product feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms such as Desktop, Mobile, etc. 

What You Will Bring

  • MBA or Master’s Degree in Mathematics, Engineering, Statistics or a related technical field
  • 4-9 years of experience in data analysis or an analytical capacity
  • 3+ years of experience in Product Analytics, Digital Analytics, or eCommerce Analytics
  • Proficient SQL programming skills with an understanding of database capabilities and experience of integrating, structuring, and analyzing large amounts of data from diverse sources. 
  • Design A/B tests to test and quantify the impact of new product feature.
  • Drive A/B testing as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, etc.).
  • Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions
  • Expert level understanding of Microsoft Office suite especially Excel and PowerPoint
  • Strong analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes
  • Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.
  • You can communicate technical material to a range of audiences and to ‘tell a story’ that provides insight into the business
  • You embrace tackling complex problems with a high degree of ambiguity. 

PREFERRED QUALIFICATIONS:

  • Background in Product Analytics, ideally experience with ‘two-sided’ businesses (Buyer & Seller) like a Marketplace (eBay), Rideshare (Uber), other ‘sharing’ business models
  • Experience with A/B and Multivariate test design and implementation and Regression modelling
  • Retail and/or eCommerce industry experience in a heavily data-driven environment preferred
  • Working knowledge of Digital Product Analytics methodologies.  Preference will be given to candidates with experience in both B2B and B2C digital products
  • Experience using an enterprise-level product analytics platforms (e.g. Mixpanel, Quantum Metric, Splunk, etc.)
  • You have a passion for working in a fast-paced agile environment

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

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.

Primary Location...

G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India
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What You Should Know About Senior, Data Analyst, Walmart

Are you ready to take your analytical skills to the next level? At Walmart, we're on the lookout for a Senior Data Analyst to join our Product Analytics, Marketplace Analytics & Data Science team at our vibrant Bangalore Home Office. In this exciting role, your main mission will be to assess and enhance the efficiency of our Marketplace platform. You'll have the opportunity to support our Product team as they craft innovative capabilities and tools that empower our Sellers to connect effectively with Customers. Imagine delving deep into data using cutting-edge analytics tools like SQL, Hive, and Tableau to build a comprehensive view of product performance and drive impactful insights. You'll be heavily involved in key initiatives like Product Discovery, evaluating product features, and understanding Seller behavior through clickstream analysis. This role is all about collaboration, working hand-in-hand with cross-functional teams from Product to Engineering and Operations. If you're a proactive problem solver with a knack for identifying product opportunities, a passion for data-driven decisions, and a robust analytical background, then we want you on our team. Join us at Walmart and make a tangible difference in an inspiring, fast-paced environment where your contributions can light the way for millions of Customers worldwide.

Frequently Asked Questions (FAQs) for Senior, Data Analyst Role at Walmart
What responsibilities does a Senior Data Analyst at Walmart in Bangalore have?

As a Senior Data Analyst at Walmart in Bangalore, you will be responsible for evaluating the performance of the Marketplace platform. This includes supporting the Product team with data insights that prioritize product capabilities, conducting thorough analyses of product features, and diving deep into clickstream data to enhance Seller performance and Customer experience. You will work closely with multiple teams across the organization to define a robust analytics roadmap and monitor KPIs to measure product health.

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What qualifications are necessary for the Senior Data Analyst role at Walmart?

To apply for the Senior Data Analyst position at Walmart, candidates typically require an MBA or a Master’s degree in a related technical field, along with 4-9 years of experience in data analysis or a similar analytical role. Additionally, experience in Product Analytics, proficiency in SQL, and familiarity with modern data visualization tools like Tableau or Looker are essential for success in this role.

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How does the Senior Data Analyst contribute to product development at Walmart?

The Senior Data Analyst plays a crucial role in product development at Walmart by serving as a trusted advisor to Product leadership. This includes providing insights throughout the product lifecycle—from the discovery phase to post-launch evaluations. By utilizing robust analytics, the analyst helps identify product opportunities and influences key decisions, ensuring that product features are data-driven and effectively meet Customer needs.

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What tools will a Senior Data Analyst use at Walmart?

As a Senior Data Analyst at Walmart, you will utilize a wide array of advanced analytics tools. You’ll work extensively with SQL for querying databases, software like Tableau and Looker for data visualization, and big data technologies like Hive and Hadoop to analyze vast datasets. Your expertise in these tools will be pivotal in extracting meaningful insights that guide business decisions.

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What is the work environment like for a Senior Data Analyst at Walmart in Bangalore?

The work environment for a Senior Data Analyst at Walmart in Bangalore is hybrid and dynamic. The role encourages collaboration within teams, blending in-office presence with remote work to enhance flexibility. This setup allows analysts to effectively communicate with cross-functional teams and play an integral part in Walmart's innovative culture, making impactful contributions toward the future of retail.

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Common Interview Questions for Senior, Data Analyst
Can you describe your experience with SQL as it relates to data analysis?

In your response, highlight specific projects where you used SQL to query and manipulate data from various databases. Be sure to illustrate how your SQL skills enabled you to uncover insights that informed business strategies, and be prepared to discuss the complexity of the datasets you handled.

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How have you utilized A/B testing in your previous roles?

When answering this question, provide concrete examples of how you designed and implemented A/B tests. Discuss the objectives, the metrics you measured, and the impact of the results on product decisions or business outcomes.

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What tools do you prefer for data visualization, and why?

Share your familiarity with data visualization tools such as Tableau, Looker, or Mixpanel. Emphasize any specific functionalities of these tools that you found particularly effective for communicating data insights and tell a story to your audience.

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How do you handle ambiguity in data analysis?

Discuss your approach when faced with incomplete or unclear data. Illustrate your methodological process for framing questions, running exploratory analyses, and deriving actionable insights from the available information, demonstrating your problem-solving skills.

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Can you explain your experience with clickstream analytics?

In your response, describe specific projects that involved clickstream analysis, detailing how this analysis contributed to improved user experiences or product features. Share insights you uncovered and how they influenced product decisions.

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How do you determine which KPIs to monitor for product performance?

Discuss your framework for identifying KPIs based on the product strategy and business objectives. Share examples of how you aligned KPIs with team goals and used them to drive performance enhancements.

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Describe a time when your data analysis led to a significant business impact.

Provide a detailed situation where your analysis resulted in actionable recommendations that led to measurable improvements in business outcomes. Highlight the methodologies you used and the steps taken that led to your conclusions.

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What experience do you have working with cross-functional teams?

Reflect on past projects where collaboration with Product, Engineering, or business stakeholders was essential. Describe how you approached these interactions, your communication strategies, and how you contributed to successful outcomes.

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What is your approach to creating effective dashboards?

Discuss your experience in designing dashboards, focusing on user experience, clarity, and effectiveness. Illustrate how you prioritize information, choose visual elements, and ensure that the dashboards facilitate decision-making.

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How do you stay up to date with industry trends in data analytics?

Share strategies for continuous learning, such as following relevant publications, participating in webinars, or engaging with the analytics community. Highlight any specific trends you find particularly impactful to data analysis in business contexts.

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Full-time, hybrid
DATE POSTED
March 28, 2025

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