Senior Data Analyst

$134,100 - $202,000/Yr

Walmart - San Bruno, CA

Full-time - Mid Level

San Bruno, CA

General Merchandise Retailers

About the position

The Senior Data Analyst position at Walmart involves partnering with business stakeholders to translate business problems into data-driven solutions. The role requires expertise in data extraction, analysis, and visualization, utilizing various statistical techniques and software tools. The analyst will also be responsible for monitoring data quality, guiding junior team members, and presenting analytical results to both technical and non-technical audiences.

Responsibilities

• Partner with business stakeholders to understand business problems and translate them to data or mathematical problems.
• Identify and recommend appropriate analytical and data science solutions.
• Identify the correct data sources and extract data writing SQL queries.
• Perform data quality checks on extracted data.
• Define key performance indicators (KPIs) to monitor various aspects of omni-channel marketplace platform and supply chain compliance.
• Perform data analysis using different statistical techniques such as hypothesis tests, confidence intervals, and time series analysis using relevant software packages in Python and Jupyter Notebooks.
• Analyze supply chain data using different geospatial data analysis techniques such as geospatial clustering, indexing, and grid systems using software packages in Python.
• Build and test machine learning and statistical models.
• Present use cases and give examples to demonstrate how the model would solve the business problem.
• Build data pipelines to retrieve data for different analytical needs using SQL and Python.
• Generate data visualizations to create reports and dashboards using Tableau, Looker, and Python.
• Present results of analysis to the team and business audience using appropriate data visualizations and convey clear messages to drive data driven decisions.
• Monitor data quality by continuously measuring and monitoring data quality.
• Resolve data quality issues and guide data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data.
• Assist in data science and analytics research projects by building proof of concept solutions.
• Guide and mentor junior team members.

Requirements

• Master's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance or related field; OR Bachelor's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance or related field and 2 years of experience in data analysis, data science, statistics, or related field.
• Experience translating business problems into data or mathematical problems and recommending data science and analytical solutions.
• Experience writing SQL queries to extract data from Google BigQuery, Oracle, and Microsoft SQL databases.
• Experience monitoring and maintaining the data quality of data sources using SQL, Python, and Tableau.
• Experience defining Key Performance Indicators (KPIs) to measure and monitor business.
• Experience creating data visualizations and building dashboards using Python, Looker, and Tableau.
• Experience performing data analysis by applying statistical techniques using Python and Jupyter Notebooks.
• Experience building and testing supervised and unsupervised machine learning models using Python.
• Experience researching analytical methodologies and solutions.
• Experience presenting analytical results to technical and non-technical business partners and executives.
• Experience building data pipelines using SQL and Python.
• Experience analyzing supply chain data using geospatial data analysis techniques in Python.

Benefits

• Competitive pay and performance-based incentive awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits including 401(k), stock purchase, and company-paid life insurance.
• Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability benefits.
• Education assistance with 100% company paid college degrees.
• Company discounts and military service pay.
• Adoption expense reimbursement.