Data Analytics Engineer working with product and engineering teams to implement data solutions. Analyzing product metrics and guiding roadmap decisions for CrowdStrike's cybersecurity platform.
About the role
- Principal Data Analyst managing data-driven insights for Walmart's Retail and eCommerce strategies. Designing KPIs, analytics pipelines, and reporting infrastructure for performance monitoring.
Responsibilities
- Design business KPIs to measure the success of business initiatives and determine areas of opportunity in business initiatives and engineering systems in Retail and eCommerce domain.
- Monitor and report on sales performance, market trends, and competitor pricing and assortment strategies (using Tableau, Looker, Power BI and D3) and identifying opportunities to differentiate Pricing and Assortment offerings.
- Improve, scale, and unify e-commerce analytics infrastructure and reporting landscape supporting planning, forecasting and intraweek steering processes and monthly/quarterly business reviews.
- Challenge and contribute to product decisions based on data driven insights using statistical data mining of large datasets in R and Scikit-learn.
- Design and implement analytics pipelines with coding and scripting using languages such as Python and Java.
- Design methodologies to evaluate and benchmark machine learning models and create automated pipelines to measure them.
- Design and Architect Analytics Platform and Data Repositories for fast report and insight generation.
- Generate insights and execute experimentation based on hypothesis testing, A/B testing, segmentation, churn analysis, repeat purchase, and market basket using Python and R.
- Maintain code repository and CI/CD frameworks for reporting and analytics frameworks.
- Setup Multi-Arm Bandit and Integration Tests for new features and business opportunities, and dive deep into the results to give recommendations.
Requirements
- Bachelor's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance, Computer Science, or related field and 4 years of experience in data analysis, data science, statistics, or related field; OR Master's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance Computer Science, or related field or related field and 2 years of experience in data analysis, data science, statistics, or related field.
- Experience with advanced SQL for slicing, dicing, and aggregating distributed datasets to generate insights specific to Retail and ecommerce for Actionable Insights using Apache Hive and Spark, Big Query and Oracle.
- Experience with statistical data mining to conduct in depth analysis of large datasets of Retail and eCommerce domain in R and Scikit-learn and drive omni-channel retail product and business strategy.
- Experience architecting and developing retail analytics platforms and data repositories.
- Experience with Applied Machine Learning methods: Regression, Classification, Ranking and Natural Language Processing to optimize Retail and ECommerce business operations, Including pricing, assortment, store operations and customer engagement.
- Experience with algorithms, data structures, coding and scripting using Java, Python, and R.
- Experience with Github for code repository maintenance and CI/CD frameworks.
- Experience with the following Cloud Technologies: Azure, AWS, and GCP.
- Experience building Business Intelligence reports using Tableau, Looker, PowerBI and D3 for Retail and E-Commerce Pricing and Assortment offerings.
- Experience evaluating and benchmarking machine learning models, Hypothesis testing, A/B testing, Multi-Arm Bandit testing for large scale web-based direct to customer retail merchandizing applications, including segmentation, churn analysis, repeat purchase, and market basket using Python and R.
- Experience developing Retail and eCommerce business KPIs for Price Coverage, Elasticity, Meet-Beat, Density, performance metrics (Precision/Recall), and impact metrics, including GMV, Profitability and Conversion.
- Experience measuring, monitoring and reporting on Sales Performance, Market Trends, Competitor Pricing, and Assortment Strategies.
Benefits
- Health benefits include medical, vision and dental coverage.
- Financial benefits include 401(k), stock purchase and company-paid life insurance.
- Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting.
- Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
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