PRINCIPAL, DATA ANALYST

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 analysing 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.

What You Will Do

• 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
• 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
• Working knowledge of data science algorithms to build analytics frameworks for assessing impact
• Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms
• Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling
• Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
• Strong hands-on experience with Python
• Experience with data visualization tools such as R-Shiny, Tableau, PowerBI
• Experience with Teradata, SQL and relational databases, data warehouse

What You Will Bring

• 5-10 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.
• Understanding of advanced analytics techniques
• Experience of building data science models
• Excellent written and verbal communication skills for coordinating across teams.
• Strong problem solving skills with an emphasis on product development.
• Led or worked independently on major initiatives.

About Walmart Global Tech

From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmart's scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow.

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.

Equal Opportunity Employer

Walmart, Inc. is an Equal Opportunity 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 diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

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 4 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 and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 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...Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India