Senior, Data Analyst

Walmart • Bentonville, AR

5d • $110,302 - $155,000 • Onsite

About The Position

This role focuses on translating business problems into data-driven solutions, identifying appropriate methods and tools, and developing business cases with projected ROI. The Senior Data Analyst will serve as an interpreter between business needs and tangible solutions, providing recommendations and identifying relevant business insights. Responsibilities include data source identification, quality checks, data visualization, and influencing teams and stakeholders through clear communication and data presentation. The role also involves guiding junior associates, promoting data quality awareness, managing data quality issues, and educating others on data governance. Exploratory data analysis, including collecting and evaluating data, applying statistical techniques, and using data discovery tools to identify patterns and trends, is a key aspect. The position also requires understanding and applying data strategy principles to routine business problems.

Requirements

• Master’s degree or the equivalent in Engineering, Analytics, Computer Science or a related field plus one (1) year of experience in data analysis, data science, statistics, or related experience OR Bachelor’s degree or the equivalent in Engineering, Analytics, Computer Science or a related field plus two (2) years of experience in data analysis, data science, statistics, or related experience.
• Experience with designing and building analytical reports and dashboards using BI tools such as PowerBI or Tableau.
• Experience performing data analysis from multiple data sources using SQL and Python.
• Experience defining and monitoring KPIs of applications using data visualization techniques.
• Experience identifying patterns and trends in data using SQL and Python and performing root cause analysis.
• Experience building and interpreting predictive models using Python and KNIME.
• Experience manipulating data and providing recommendations to stakeholders from large data sets using Alteryx, SQL, and SAS.
• Experience collaborating with different stakeholders and ensuring prioritization of the product backlog and implementation.
• Experience building data pipelines from multiple data sources to migrate data to a common data platform using Python and SQL.
• Experience maintaining data integrity and accuracy across product dashboards in PowerBI.
• Experience performing A/B testing to provide recommendations to improve overall product performance.
• Employer will accept any amount of experience with the required skills.

Responsibilities

• Translate business problems into data-related or mathematical solutions.
• Identify appropriate methods and tools to solve business problems.
• Share use cases and examples to demonstrate how methods solve business problems.
• Provide recommendations to business stakeholders to solve complex business issues.
• Develop business cases for projects with projected return on investment or cost savings.
• Translate business requirements into projects, activities, and tasks aligned with business strategy.
• Serve as an interpreter connecting business needs with tangible solutions.
• Identify and recommend relevant business insights.
• Support understanding of requirement priority and service level agreements.
• Help identify the most suitable source for fit-for-purpose data.
• Perform initial data quality checks on extracted data.
• Generate graphical representations of data and model outcomes.
• Understand customer requirements to design appropriate data representation.
• Work with User Experience designers and User Interface engineers to build front-end applications.
• Present to and influence teams and business audiences using data visualization frameworks.
• Guide and mentor junior associates on data story types, structures, and techniques.
• Promote and educate others on data quality awareness.
• Profile, analyze, and assess data quality.
• Test and validate data quality requirements.
• Continuously measure and monitor data quality.
• Deliver against data quality service level agreements.
• Manage operational Data Quality Management procedures.
• Manage data quality issues and lead data cleansing activities.
• Determine user accessibility and manage user access.
• Interpret company and regulatory policies on data.
• Educate others on data governance processes, practices, policies, and guidelines.
• Collect and tabulate data and evaluate results for accuracy, validity, and applicability.
• Support the identification and application of statistical techniques.
• Apply suitable statistical techniques under direction.
• Assist in the planning, design, and implementation of exploratory data analysis research projects.
• Understand existing statistical models and identify/recommend new models.
• Use advanced knowledge in Data Discovery tools to write queries and analyze data.
• Conduct statistical analysis and build basic statistical models.
• Understand, articulate, and apply principles of the defined data strategy to routine business problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior