Senior, Data Analyst

Walmart • Bentonville, AR

8d • $127,171 - $155,000

About The Position

The Senior Data Analyst translates business problems into data-related or mathematical solutions, identifies suitable methods and tools, and advises others on applying relevant expertise and best practices. The role develops recommendations and business cases for complex business issues, translates requirements into projects and tasks aligned with business strategy, and connects business needs with practical solutions. It also identifies appropriate data sources, performs initial data-quality checks, and supports understanding of requirements and service-level priorities.

The position creates visual representations of data and model outcomes, designs representations for multiple data sets, and may collaborate with user-experience designers and user-interface engineers on front-end applications. It presents findings to teams and business stakeholders, adapts communication to the audience, and mentors junior associates on data storytelling. The role profiles, tests, validates, monitors, and improves data quality; manages data-quality processes and issues; supports data governance and access controls; and interprets company and regulatory policies.

The Senior Data Analyst collects and evaluates data, supports selection of statistical techniques, conducts exploratory analysis, builds basic statistical models, and contributes to analysis research projects. The role applies the defined data strategy to routine business problems within a single function.

The position requires substantial hands-on work with dashboards, databases, cloud and Hadoop data environments, data migration, Python, Scala, Spark, Kafka, SQL, and PL/SQL. Duties include developing and publishing dashboards, blending data, migrating legacy reports and databases, managing reusable semantic-layer data sources and KPIs, creating and refreshing large data sets and BigQuery tables, processing product data, tuning performance, and analyzing incoming data in real time.

Requirements

• Bachelor's degree or equivalent in Business, Engineering, Statistics, Economics, Analytics, Information Technology, or a related field plus 2 years of experience in data analysis, data science, or related experience; alternatively, 4 years of experience in data analysis, data science, or related experience.
• Experience developing storytelling dashboards in Tableau Desktop and Power BI and publishing them to a server connected to multiple data sources, including Oracle (GRS/CKB), MySQL, Teradata, Prod 17, DB2, and GCP (BQ).
• Experience migrating Teradata databases to GCP and Hadoop systems and using Query IT and Hive to access Hadoop files.
• Experience blending data from multiple sources and developing dashboard navigation schemes for strategic, tactical, and operational dashboards.
• Experience migrating legacy reports into Tableau and building reports from a formal data warehouse initiative.
• Experience developing and managing the Tableau semantic layer using reusable data sources and KPIs for sales trends and forecasting.
• Experience using Python to compute on large data sets, create BigQuery tables, and schedule refreshes.
• Experience developing Spark code using Scala, Python, and Spark SQL to retrieve item- and product-related data from multiple sources.
• Experience performance tuning targets, sources, mappings, and sessions.
• Experience real-time analysis of incoming data using Kafka consumer APIs, Kafka topics, and Spark Streaming with Scala.
• Experience with PL/SQL programming, including stored procedures, functions, packages, SQL tuning, and creating tables, views, materialized views, triggers, sequences, and synonyms.
• The employer will accept any amount of experience with the required skills.

Responsibilities

• Translate or co-own business problems into data-related or mathematical solutions and identify appropriate methods and tools.
• Share use cases and explain how selected methods can solve business problems; provide expert advice and guidance to others.
• Provide recommendations and business cases for complex business issues, including projected return on investment or cost savings.
• Translate business requirements into projects, activities, and tasks aligned with business strategy; connect business needs with solutions and results.
• Identify relevant business insights and build relationships with stakeholders to support business solutions and improvements.
• Support prioritization of requirements and service-level agreements, identify fit-for-purpose data sources, and perform initial data-quality checks.
• Generate suitable graphical representations of data and model outcomes and design representations for multiple data sets based on customer needs.
• Collaborate with User Experience designers and User Interface engineers as needed to build front-end applications.
• Present findings using appropriate visualization frameworks and clear stakeholder-focused communications; guide and mentor junior associates on data storytelling.
• Promote data-quality awareness; profile, assess, test, validate, measure, and monitor data quality; meet data-quality service-level agreements.
• Manage data-quality procedures and issues, lead data-cleansing activities, and improve data quality by removing defects and unused data.
• Determine user accessibility and remove or restrict access when needed; interpret policies and educate others on data governance practices.
• Collect and tabulate data, evaluate accuracy, validity, and applicability, and support the selection and application of statistical techniques.
• Assist in planning, designing, and implementing exploratory data-analysis research projects; evaluate hypotheses and recommend statistical models.
• Conduct statistical analysis and build basic statistical models using relevant software and packages.
• Apply defined data-strategy principles to routine business problems involving a single function.
• Develop storytelling dashboards in Tableau Desktop and Power BI and publish them to a server connected to multiple data sources.
• Support migration of Teradata databases to GCP and Hadoop systems and use Query IT and Hive to access Hadoop files.
• Blend data from multiple sources and develop front-end navigation schemes for strategic, tactical, and operational dashboard portfolios.
• Migrate legacy reports into Tableau, build new reports from a formal data warehouse initiative, and manage Tableau semantic-layer reusable data sources and KPIs.
• Create and extract large sales data sets and shared files, perform complex computations using Python, create BigQuery tables, and schedule refreshes.
• Develop Spark code using Scala, Python, and Spark SQL to fetch item- and product-related data from different sources.
• Tune the performance of targets, sources, mappings, and sessions.
• Perform real-time analysis of incoming data using the Kafka consumer API, Kafka topics, and Spark Streaming with Scala.
• Write PL/SQL, including stored procedures, functions, packages, SQL tuning, and database objects such as tables, views, materialized views, triggers, sequences, and synonyms.

Benefits

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

What This Job Offers

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