Senior Data Analyst

Walmart•Bentonville, AR

7d•Onsite

About The Position

The Senior Data Analyst identifies suitable, fit-for-purpose data sources, understands business data requirements and service-level agreements, and performs initial data-quality checks on extracted data. The role applies data strategy principles across routine business problems within a single function, including data management, quality standards, governance, accessibility, storage, and scalability. The analyst interprets business context and metrics, translates business requirements into projects and tasks aligned with business strategy, and connects business needs with practical data solutions. The role provides recommendations to stakeholders, develops project business cases based on projected return on investment or cost savings, and identifies relevant business insights. It also translates or co-owns business problems and selects appropriate analytical methods and tools. The role creates graphical representations of data and model outcomes, designs visualizations for multiple data sets, and communicates findings to business audiences. It may work with user experience designers and user interface engineers to build front-end applications. The position is located at 811 Excellence Dr, Bentonville, AR 72716. The stated pay range is $96,616 to $155,000 per year, with additional annual or quarterly performance incentives.

Requirements

Master’s degree or equivalent in Information Technology and Management, Engineering (any), or a related field; alternatively, a bachelor’s degree or equivalent in one of those fields and two years of experience in data analytics or a related field.
Experience cleaning data and performing deep-dive analytics with Google Cloud Platform.
Experience creating reporting and visualization dashboards with Tableau.
Experience performing regression and creating bar plots using statistical analysis with R.
Experience organizing projects using waterfall or agile methodologies and project management.
Experience using SQL to extract and analyze database data with SSMS.
Experience using relational databases to interact with data, including creating, updating, traversing, and merging data.
Experience creating schedulers to automate tasks, including email and project tracking, with Microsoft Power Automate.
Experience cleaning data and exporting it into SSMS using Python.
Experience reporting and formatting data, implementing calculated fields, and performing VLOOKUP and macros in Excel.
Experience creating ETL processes to automate data fetching, transformation, and conversion into usable tables.

Responsibilities

Identify business data sources, requirements, data categories, database technologies, data quality considerations, and relevant business systems and processes.
Determine suitable sources of fit-for-purpose data and perform initial quality checks on extracted data.
Apply data strategy principles and data ecosystem practices, including data management, data quality, governance, accessibility, storage, and scalability.
Understand business context, metrics, and practices across relevant domains and provide recommendations to stakeholders on 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 overall business strategy, and develop domain-specific artifacts.
Connect business needs with tangible data solutions and identify relevant business insights.
Translate or co-own business problems into data-related or mathematical solutions, identify suitable methods and tools, and demonstrate their application through use cases.
Create appropriate visual representations of data and model outcomes, tailoring data representations to customer requirements and multiple data sets.
Work with user experience designers and user interface engineers as needed to build front-end applications.
Present findings using appropriate visualization frameworks and adapt communication to business stakeholders.