- Location
- IN KA BANGALORE Home Office PTPP1, India
- Type
- Full-time
- Seniority
- Senior
- Experience
- 2+ years
- Education
- Master
- Closing date
- Today
- Source
- Workday
Description
Position Summary...
What you'll do...
About Team
The International Analytics team India is looking for experienced product analyst who will support product, engineering and leadership team with insights gained from analyzing product and business data. They must have a proven ability to drive business results with their data-based insights.
What you will do
The International Analytics team India is looking for experienced product analyst who will support product, engineering and leadership team with insights gained from analyzing product and business data. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The candidate will work across a family of areas (e.g. customer engagement, digital experience, merchandising, Supply chain, financial services, Operations) to help set the vision for creating amazing products.
· Define metrics, drive roadmaps, and uncover opportunities to improve our products.
· Have a strong bias towards action, enjoy finding patterns amidst chaos, and have demonstrated success in using analytics to drive business impact.
· Has the technical skills to surface insights quickly, and the interpersonal skills to communicate those insights in a way that persuades action.
· Work with your team to develop new analytic methods
· Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
· Actively leverage AI/GenAI tools to enhance analytical productivity, automate repetitive workflows, and accelerate the journey from data to actionable insights.
· Partner with product leaders, designers, and engineering managers to improve our products and prioritize projects for impact.
· Represent the product analytics team in key meetings and business reviews with our executive team and founders
· Provide data driven insights and deliver recommendations that address opportunities for product improvements
· Use statistical methods to generate and test hypotheses. This includes Performing analytical deep dives to identify problems, opportunities and actions required; Collecting, processing, and cleaning data from disparate sources using SQL, R, Python, or other scripting and statistical tools
· Managing the design, execution, and analysis of A/B tests; driving rigor and testing culture through product teams
What you will Bring
· 2-6 years of experience of working in a high growth analytics team.
· Fluency in SQL, as well as an understanding of statistical analysis, and common pitfalls of data analysis. Basic understanding of query logic is a MUST.
· Bachelor's degree in Statistics, Computer Science, Business Administration or related field. Relevant experience in Product analytics will be a PLUS.
· Excellent written and verbal communication skills for coordinating across teams.
· Strong problem-solving skills with an emphasis on product development.
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.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their 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.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive
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.