Data Coordinator
Career GuideKey Responsibilities
- Collect data from internal teams and external sources
- Enter and update records in databases or spreadsheets
- Validate data for accuracy and completeness
- Clean data by fixing duplicates, missing fields, and formatting issues
- Maintain data documentation and definitions
- Run routine reports and share results with stakeholders
- Coordinate data requests and follow up on missing inputs
- Support audits and compliance checks by providing data evidence
- Track recurring data issues and propose process improvements
Top Skills for Success
Attention to Detail
Written Communication
Time Management
Stakeholder Management
Spreadsheet Proficiency
Data Entry Accuracy
Data Quality Checking
Reporting Fundamentals
Database Fundamentals
Data Privacy Awareness
Career Progression
Can Lead To
Data Analyst
Reporting Analyst
Business Operations Analyst
Data Quality Analyst
Database Administrator
Analytics Coordinator
Transition Opportunities
Business Analyst
Data Governance Specialist
Customer Insights Analyst
Revenue Operations Analyst
Project Coordinator
Common Skill Gaps
Often Missing Skills
SQLData VisualizationData DocumentationMetric DefinitionsProcess ImprovementData GovernanceData Validation Automation
Development SuggestionsStrengthen reporting by learning SQL and a visualization tool, improve reliability by building clear data documentation, and reduce manual work by automating repeat checks in spreadsheets or simple scripts.
Salary & Demand
Median Salary Range
Entry LevelUSD 40,000 to 55,000
Mid LevelUSD 55,000 to 75,000
Senior LevelUSD 75,000 to 95,000
Growth Trend
Stable to growing demand, driven by companies standardizing data, improving reporting, and tightening data quality expectations across operations, healthcare, finance, education, and technology.Companies Hiring
Major Employers
UnitedHealth GroupKaiser PermanenteCVS HealthJPMorgan ChaseWells FargoAmazonWalmartAccentureDeloitteFedEx
Industry Sectors
HealthcareFinancial ServicesRetailLogisticsTechnologyHigher EducationGovernmentNonprofit
Recommended Next Steps
1
Build a portfolio with two to three examples of cleaned datasets and clear before and after improvements2
Learn SQL basics and practice joining tables and filtering records3
Create a simple dashboard that tracks a weekly metric and includes a short data definition list4
Add a data quality checklist to your workflow and track error rates over time5
Practice writing concise update messages that explain what changed, why it changed, and what to do next6
Target roles that mention data quality, reporting, operations, or analytics support as a path to analyst positions