Senior, Data Analyst

Walmart • Bentonville, AR

10d • $127,171 - $155,000 • Onsite

About The Position

The Senior, Data Analyst translates and co-owns business problems within their discipline, identifying data-related or mathematical solutions and suitable methods and tools. The role advises stakeholders on complex business issues, develops project business cases, translates business requirements into work aligned with overall business strategy, and connects business needs with tangible solutions. It also supports data-source selection and initial data-quality checks; creates and presents data visualizations; manages data quality and governance activities; conducts exploratory analysis and statistical modeling; and applies defined data strategy to routine, single-function business problems.

The position develops storytelling dashboards in Tableau Desktop and Power BI, connects dashboards to varied data sources, supports migration of Teradata databases to GCP and Hadoop, and works with Tableau semantic layers, reusable data sources, KPIs, sales trends, and forecasts. It also uses Python, Spark, Scala, Spark SQL, Kafka, and PL/SQL for data extraction, computation, streaming analysis, database programming, and performance tuning. The role is located at 811 Excellence Dr, Bentonville, AR 72716.

The minimum education and experience requirement is a bachelor's degree or equivalent in a listed or related field plus two years of relevant experience, or four years of relevant experience. The employer will accept any amount of experience with the required skills. Pay is $127,171–$155,000 per year, with additional annual or quarterly performance incentives. Walmart describes benefits including health coverage, retirement and stock purchase benefits, paid time off, leave, disability coverage, education assistance, discounts, and other benefits; eligibility and plan terms apply.

Requirements

• Bachelor's degree or equivalent in Business, Engineering, Statistics, Economics, Analytics, Information Technology, or a related field plus two years of experience in data analysis, data science, or related work; alternatively, four years of relevant experience.
• Experience with developing storytelling dashboards in Tableau Desktop and Power BI and publishing them to servers connected to multiple data sources, including Oracle (GRS/CKB), MySQL, Teradata, Prod 17, DB2, and GCP (BQ).
• Experience working on Teradata database migration to GCP and Hadoop.
• Experience using Query IT and Hive to access Hadoop files.
• Experience blending data from multiple sources to identify opportunities.
• Experience developing front-end navigation for a formal dashboard portfolio strategy covering strategic, tactical, and operational dashboards.
• Experience migrating legacy reports into Tableau and building reports from a formal data warehouse initiative.
• Experience developing and managing a Tableau semantic layer using reusable data sources and KPIs for sales trends and forecasts.
• Experience using Python to perform complex computations on large sales data sets and shared files, create BigQuery tables, and schedule refreshes.
• Experience developing Spark code using Scala, Python, and Spark SQL to fetch item- and product-related data.
• Experience with performance tuning of targets, sources, mappings, and sessions.
• Experience performing real-time analysis with Kafka Consumer API, Kafka topics, and Spark Streaming using 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 within the discipline and identify data-related or mathematical solutions, methods, and tools.
• Provide expert advice and guidance, apply current expertise, and support action plans that meet customer and business needs.
• Recommend solutions to complex business issues and 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, and connect business needs to tangible solutions.
• Identify relevant business insights and build partnerships with stakeholders to determine needs, implement solutions, monitor results, and adapt to changing demands.
• Support prioritization of requirements and service-level agreements, identify fit-for-purpose data sources, and conduct initial data-quality checks.
• Generate data and model visualizations suited to customer requirements and multiple data sets; work with user experience designers and user interface engineers as needed.
• Present visualizations and insights to teams and business audiences, tailor communication to stakeholders, and mentor junior associates on storytelling techniques.
• Promote data-quality awareness; profile, assess, test, validate, measure, and monitor data quality; and deliver against data-quality service-level agreements.
• Manage data-quality procedures and issues, lead data cleansing, determine user accessibility, and interpret and educate others on data policies and governance.
• Collect and tabulate data, evaluate accuracy and validity, apply statistical techniques, assist with exploratory research projects, and conduct analysis and basic statistical modeling.
• 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 servers 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 help develop navigation for a formal portfolio of strategic, tactical, and operational dashboards.
• Migrate legacy reports into Tableau, develop new reports from data warehouse initiatives, and manage reusable Tableau data sources, KPIs, sales trends, and forecasts.
• Create and extract large sales data sets and shared files; perform complex Python computations, create BigQuery tables, and schedule refreshes.
• Develop Spark code using Scala, Python, and Spark SQL to retrieve item- and product-related data from different sources.
• Tune the performance of targets, sources, mappings, and sessions.
• Analyze incoming data in real time using Kafka Consumer API, Kafka topics, and Spark Streaming with Scala.
• Perform PL/SQL programming, including stored procedures, functions, packages, SQL tuning, and creation of database objects.

Benefits

• Medical, vision, and dental coverage.
• 401(k).
• Stock purchase benefit.
• Company-paid life insurance.
• Paid time off, including sick leave.
• Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Performance-based incentive awards, including annual or quarterly performance incentives. Eligibility requirements and plan terms apply.

What This Job Offers

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