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Walmart Canada · 1 month ago

(USA) Senior, Data Analyst

Sunnyvale, CA

Full-time

Hybrid

Mid, Senior Level

3+ years exp

Walmart Inc. is a leading retailer seeking a passionate and creative Senior Data Analyst to join their Inkiru Data Science team. The role involves transforming complex data into actionable insights to support data-driven decision-making and collaborating with various teams to drive business impact.

DeliveryRetailShopping

No H1B

Responsibilities

Partner strategically with product development and business teams, delivering insights and recommendations of fraud trends and patterns through effective data storytelling and visualization

Analyze high-dimensional, fast-moving real-time datasets to identify trends, anomalies, and opportunities for fraud detection

Build and maintain dashboards and reports to monitor key business metrics and share insights with stakeholders

Ensure data quality and integrity through rigorous validation and documentation

Research and apply new analytical methods, tools, and techniques to solve complex business problems

Qualification

Data analysisStatistical methodsData visualizationSQLPythonRBigQueryHiveSparkTableauPower BIData modelingData engineeringCommunication skills

Required

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

Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field

4 years' experience in data analysis, data science, statistics, or related field

Technical expertise in data analysis, statistical methods, and data visualization

Strong knowledge of data modeling and data engineering best practices

Proficiency in SQL and data analysis packages in Python or R

Experience working with large datasets and distributed computing tools (BigQuery, Hive, or Spark)

Strong communication skills with the ability to present complex findings to both technical and non-technical audiences

Preferred

Experience with business intelligence tools (e.g., Tableau, Power BI, Looker)

Data science, data analysis, statistics, or related field

Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field

Related industry experience (for example, retail, merchandising, healthcare, eCommerce)

Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)