FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, SQL, and data visualization to drive actionable insights and support business needs. Proficient in collaborating with cross-functional teams to enhance data quality and deliver impactful reports.
Highest-signal resume keywords
SQL ProficiencyData Analysis TechniquesData Visualization with TableauData Quality ManagementPython Programming
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 AnalysisStatistical MethodsSQL QueriesData ProfilingData CleansingData ValidationExploratory Data AnalysisData IntegrationData WarehousingData Manipulation
Soft Skills
Effective CommunicationCollaboration
Tools & Technologies
TableauPowerBIExcelPython LibrariesGoogle BigQueryHive
Industry Keywords
Business AnalysisData ScienceFinanceMarketingSalesTechnology
Tech Stack
Tools & technologiesBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Leverage business knowledge to meet business needs for clients and internal users
- Research data quality errors, identify root causes, and quantify opportunities for development-roadmap prioritization
- Collaborate with cross-functional teams to understand business context and translate requirements into actionable insights
- Write SQL queries to extract, manipulate, and analyze large datasets from relational databases
- Support identification and sourcing of relevant data from multiple systems and databases
- Develop visualizations and reports that communicate findings
- Support process improvements and project delivery
- Partner with Account Management and Sales teams to drive trust and confidence in the data
- Research and present solutions for parity issues between enterprise applications and edge-case scenarios
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 data analysis techniques, exploratory data analysis, and statistical methods
- Proficiency with SQL, Python, and Excel
- Strong understanding of business domains including product, finance, marketing, sales, and technology
- Experience with data quality management, including profiling, cleansing, and validation
- Ability to develop data visualizations using Tableau, PowerBI, or Python libraries
- Knowledge of data sourcing, integration, and warehousing concepts
- Effective communication skills for presenting findings and collaborating cross-functionally
- Experience writing SQL queries against relational databases, including Hive and Google BigQuery
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
- Live Better U Walmart-paid education benefit program
- Tuition, books, and fees completely paid for eligible education programs
