Professional Resume Template for
Data Quality Analyst
Clara M. Sterling
Chicago, IL
(312) 555-0142
clara.sterling@email.com
linkedin.com/in/clara-sterling | github.com/clarasterling
Professional Summary
Methodical Data Quality Analyst with 5 years of tenure designing and executing data validation protocols, profiling routines, and data cleansing pipelines. Competent in automating data quality audits using Python, SQL, and Great Expectations to detect inconsistencies across distributed databases. Proven record of reducing pipeline processing anomalies by 27% and improving reporting data reliability from 89% to 99.4% for executive dashboards. Capable of collaborating with engineering and business stakeholders to enforce governance standards.
Work Experience
Data Quality Analyst — Vanguard Logistics Systems
Chicago, IL | June 2023 – Present
- Designed and implemented automated SQL and Python profiling scripts for 14 core database tables, reducing duplicate records by 22% and saving 14 hours of manual audit time per week.
- Orchestrated a data validation framework using Great Expectations that intercepted and resolved 94% of malformed API payloads before ingestion, lowering dashboard report errors by 18%.
- Partnered with data engineering teams to remediate 1.2M historical customer records, achieving a 99.7% address standardization accuracy rate to support a major marketing campaign.
- Drafted and instituted 8 data quality policies and SLA metrics, reducing system-wide data integrity issues by 31% and aligning cross-departmental operations with SOC 2 standards.
Data Quality Specialist — Helix Healthcare Group
Chicago, IL | July 2021 – May 2023
- Conducted daily data quality audits on 4 legacy patient health databases, identifying and cleansing over 450,000 invalid records and improving internal reporting completeness by 16%.
- Developed automated Excel and Power BI data profiling dashboards for senior leadership, highlighting 9 key metric discrepancies and accelerating executive decision timelines by 12%.
- Collaborated with IT support teams to debug data ingestion scripts, reducing ETL pipeline failures by 25% and resolving schema definition mismatches across 5 distinct data streams.
- Trained 18 business users on data entry best practices and standard operating procedures, which lowered manual data entry error rates by 34% within the first 6 months of implementation.
Education
Bachelor of Science in Information Systems
Loyola University Chicago · Chicago, IL · 2021
Skills
Data profiling, Data cleansing, SQL querying, Python scripting, ETL pipeline monitoring, Great Expectations, Data governance, Schema validation, SLA tracking, Power BI, Excel auditing, PostgreSQL, Git, Jira
Projects
E-Commerce Pipeline Profiling Automation
Role: Lead Data Quality Analyst
Tools: Python, SQL, Great Expectations, GitHub Actions
Automated ingestion pipeline testing for 4 critical daily feeds, catching 99.2% of schema drift incidents and reducing downstream database recovery efforts by 40%.
Patient Record Standardisation Initiative
Role: Data Quality Specialist
Tools: PostgreSQL, Python, Pandas, Power BI
Developed custom cleansing scripts to process 850,000 patient contact entries, resolving 93% of spelling and format errors and raising delivery rates of notifications by 15%.
Certifications
- Certified Data Management Professional (CDMP) – Associate Level (2024)
- Informatica Cloud Data Quality Professional (2023)
- ASQ Certified Quality Process Analyst (CQPA) (2022)
Additional information
- Languages: English (Native), Polish (Conversational)
- Professional Membership: Active member of DAMA International Chicago Chapter (2022-present)
- Availability: 2 weeks notice
Job Market Insights
Market data and opportunities for
Data Quality Analyst
Job Market Insights
$76,000
-
$114,000
Avg:
$92,000
Growth Outlook:
The market for Data Quality Analysts is expanding rapidly as businesses increasingly rely on clean data to power analytics, machine learning models, and automation systems. With the rise of AI tools, manual data cleansing is transitioning toward automated anomaly detection, demanding higher technical skill in Python, SQL, and data governance frameworks. Job opportunities in the broader database administration and data analysis fields are projected by the BLS to grow at 4% to 11% annually through 2034.
4% to 11% growth over 10 years
Key Skills Required
Focus on these skills when customizing your resume for recruiter screenings.
Search Jobs
Explore live openings for
Data Quality Analyst
roles and tailor your resume to match the market demand.
Search
Data Quality Analyst
FAQ
Common questions about the
Data Quality Analyst
position