The role is a senior data analyst position based in Bentonville, AR 72716.
The work covers identifying data sources, building data strategy, understanding business context, framing business problems as data problems, and presenting findings through visualizations.
Responsibilities
Find the right data source for each business question, working from the business domain and scenario, the categories of data and where they are stored, the business data requirements, and the database technologies in use, including SQL and NoSQL datastores.
Learn the existing business systems and processes, including their key drivers and success measures, so you can rank requirements and service level agreements by priority.
Confirm extracted data is fit for purpose by running first-pass data quality checks.
Understand how data supports business value and decisions, and apply data management, quality standards, governance, accessibility, storage and scalability principles to routine problems within a single function.
Know how data assets can generate monetary value, and apply those methods where relevant.
Learn the industry, business vocabulary and practices across areas such as product, finance, marketing, sales, technology, business systems and human resources, along with the metrics that matter in your area.
Give business stakeholders recommendations for complex issues, and build business cases for projects with a projected return on investment or cost savings.
Turn business requirements into projects, tasks and domain artifacts that fit the overall strategy, acting as the link between business needs and working solutions.
Surface business insights relevant to your area.
Convert business problems into data or mathematical solutions, co-owning them where needed, and choose suitable methods and tools.
Show through use cases and examples how a proposed method would address a business problem.
Create clear graphics of data and model results using visualization guidelines for complex data, and choose suitable tools such as Python, R, Matplotlib, Plotly, Tableau or Power BI.
Tailor visual designs to customer requirements across multiple datasets, working with UX designers and UI engineers on front-end applications when needed.
Present to the team and business audience, shape decisions with reasoned arguments, and adjust your communication style to each stakeholder under guidance.
Requirements
A master's degree or equivalent in information technology and management, engineering (any), or a related field, or a bachelor's degree or equivalent in the same fields plus 2 years of experience in data analytics or a related field.
Hands-on experience cleaning data and running deep-dive analysis to tell a data story on Google Cloud Platform.
Experience building reporting dashboards in Tableau.
Experience running regression and building bar charts with statistical analysis in R.
Experience planning projects using waterfall or agile methods with project management tools.
Experience writing SQL to pull data from databases and analyzing it in SSMS.
Experience working with several relational databases, including creating, updating, navigating and merging data.
Experience building scheduled automations, including email sending and project tracking, in Microsoft Power Automate.
Experience cleaning data in Python and exporting it to SSMS.
Experience reporting in Excel, including formatting, calculated fields, VLOOKUP and macros.
Experience building ETL pipelines that fetch, transform and convert data into usable tables.
Any amount of experience with the listed skills is accepted.
Conditions
Pay is $96,616.00 to $155,000.00 per year.
Performance incentives are paid annually or quarterly.
The role is based at 811 Excellence Dr, Bentonville, AR 72716.
Equal opportunity employer.
Benefits
Competitive pay with performance-based incentive awards.
Medical, vision and dental coverage.
401(k), stock purchase and company-paid life insurance.
PTO including sick leave, parental leave, family care leave, bereavement, jury duty and voting time.
Short-term and long-term disability cover.
Education assistance with 100% company-paid college degrees.
Company discounts, military service pay and adoption expense reimbursement.
Some benefits depend on job classification and length of employment, and may be subject to plan terms that can change. Details are on the company's benefits site.