Data Quality & Reporting Analyst
Position Overview
The Data Quality & Reporting Analyst plays a foundational role in strengthening how the Program uses data to support decision-making, improve operations, and ensure responsible stewardship of resources to the families the Program serves. This role is primarily responsible for organizing, structuring, validating, and maintaining high-quality program data, and translating that data into clear, practical reporting that supports case management, policy development, program quality, and leadership decisions.
This is a hands-on, build-oriented role in an environment where data exists across multiple sources and formats. The Analyst will help establish and manage reliable sources of truth, improve data accuracy, and build the foundation for long-term data literacy across the organization. Reporting to the Chief Program Officer, this position is Exempt under the Fair Labor Standards Act (FLSA).
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Duties & Responsibilities:
Core Duties
Establish and manage sources of truth for key program data (participants, services, costs, utilization)
Perform ongoing data validation to identify and resolve inconsistencies, gaps, and duplications
Ensure a high standard of data accuracy and reliability across all reporting outputs
Introduce practical data governance practices, including:
data definitions and business glossaries
data accuracy and validation rules
ownership, access and update processes
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Interim Data Structure & System Transition Support
Design and build interim datasets or lightweight databases to organize program data in a usable and scalable way
Prepare and structure data for migration into a new system
Partner with internal teams and vendors to ensure data is:
well-defined
logically structured
aligned with program workflows and reporting needs
Play an active role in shaping how data is defined, categorized, and used in the future system
Help ensure continuity of data accuracy and sources of truth during system transition
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Reporting & Operational Insight
Develop and maintain a set of core, repeatable program reports, including:
utilization (services, frequency)
cost (per participant, per service category)
trends over time
Use tools such as Excel (advanced), pivot tables, and/or SQL to generate reliable reporting
Ensure reports are:
consistent
easy to interpret
grounded in validated, high-quality data
Continuously improve reporting to better support decision-making across the program
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Decision Support Across Program Functions
Support Program functions by identifying:
outliers
high-cost cases
unusual patterns
areas of high utilization
recurring exceptions or inconsistencies
typical ranges
comparative data
Respond to targeted data questions while reinforcing reliance on standardized, trusted data sources
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Data Interpretation, Literacy & Communication
Translate data into clear, practical insights for a variety of stakeholders
Promote data literacy across the program by helping staff:
understand key metrics
interpret reports correctly
use data appropriately in decision-making
Clearly communicate data limitations, including:
incomplete or inconsistent data
small sample sizes
situations where conclusions should be interpreted cautiously
Help stakeholders understand both:
what the data shows
and what it does not support
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Qualifications:
Experience restructuring datasets from inconsistent formats or combining multiple data exports into a unified structure.
Advanced proficiency in Microsoft Excel, including:
pivot tables
data manipulation
structured datasets
Demonstrated experience with:
data validation
improving data accuracy
organizing data across multiple sources
Strong attention to detail and commitment to data integrity and reliability
Familiarity with data governance practices (data definitions, validation, source-of-truth management)
Ability to work independently in a build and design environment with evolving requirements
Exposure to system implementation or data migration efforts preferred.
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Education & Experience:
Bachelor’s degree is required. Degrees in a related field such as Business Analytics, Information Systems, Healthcare Administration, Public Health, Economics, or a similar discipline is preferred.
3-5 years of related work experience with messy, real-world datasets and improving data quality, structure, and usability
Experience with SQL or similar tools for querying and organizing data (preferred but can be developing)
National organizational memberships preferred.
Advanced certifications preferred.
Virginia Birth Injury is an Equal Opportunity Employer. Virginia Birth Injury does not discriminate in hiring or employment practices based on race, color, religion, gender, age, sexual orientation, marital or family status, national origin, non-job-related disability, or status as a veteran.