Data Quality Analyst
Impact: Operational, Strategic
Ensure the accuracy, completeness, and reliability of organizational data by identifying inconsistencies, developing data quality standards, and collaborating with teams to resolve data issues.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- Team-oriented, but also requires individual deep work.
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- Low
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40
- Stress level
- Moderate
At a glance
- Median salary
- $85,000
- Entry-level
- $60,000
- Senior
- $110,000
- Growth by 2033
- 0.12
- Demand
- Growing
- Freelance potential
- Moderate
- Salary growth potential
- High
- Typical student debt
- $30,000
Skills you'll use
Hard skills
- SQL
- Data Profiling Tools
- ETL
- Data Governance
- Statistical Analysis
Soft skills
- Attention to Detail
- Problem-Solving
- Communication
Technical complexity: High
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 4
- Years to senior
- 8
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Senior Data Quality Analyst, Data Governance Specialist, Data Architect, Business Intelligence Analyst.
Future outlook
- Automation probability
- 0.15
- AI disruption risk
- Low
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 3.8/10
- Meaning
- 3.5/10
- Work-life balance
- 4/10
- Prestige
- 6.5/10
- Social perception
- High