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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, data cleansing, and business intelligence, with a strong ability to develop dashboards and reports that support decision-making. Proficient in SQL and familiar with scripting languages and analytics tools to derive actionable insights from complex business data.
Highest-signal resume keywords
SQL ProficiencyData Cleansing and IntegrationBusiness Intelligence ToolsDashboard CreationStatistical Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData ScienceStatisticsData ManagementData Quality FrameworksMetadata ManagementOperational Data Store ProcessesScriptingAnalytics ToolsBusiness Metrics Analysis
Soft Skills
CollaborationStakeholder EngagementCommunication
Tools & Technologies
Google BigQueryPower BITableauPythonSparkScalaR
Industry Keywords
Data GovernanceData Strategy DevelopmentContinuous Improvement InitiativesEmerging Technology
Tech Stack
Tools & technologiesBigQueryPythonScalaSparkSQLTableau
About the role
Key responsibilities & impact- Analyze complex business data across multiple domains to support decision-making and project delivery
- Identify, collect, and validate data from multiple sources
- Develop and maintain dashboards and reports using business intelligence tools
- Apply statistical techniques and scripting to explore data trends, correlations, and anomalies
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions
- Support data cleansing, integration, and management activities
- Present findings to influence business strategies and support continuous improvement initiatives
- Centralize reporting, standardize metrics, and strengthen data governance
- Develop scalable analytics solutions connecting business strategy, data, and emerging technology
- Create reusable, forward-looking insights and AI-enabled tools
Requirements
What you’ll need- Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field; OR 2 years' experience in data analysis, data science, statistics, or related field
- Proficiency in SQL
- Experience with database technologies, including distributed datastores such as Google BigQuery
- Strong skills in data cleansing, integration, and management
- Experience with business intelligence tools and dashboard creation
- Ability to analyze business metrics and apply statistical techniques
- Knowledge of data quality frameworks, metadata management, and operational data store processes
- Capability to support data strategy development and collaborate with stakeholders
- Familiarity with scripting and analytics tools
- Preferred: data science, data analysis, statistics, or related field
- Preferred: Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
- Preferred: related industry experience
- Preferred: successful completion of assessments in data analysis and Business Intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
- Live Better U Walmart-paid education benefit, including high school completion, bachelor's degrees, English Language Learning, and short-form certificates
- Tuition, books, and fees completely paid through Live Better U
