Data Quality Analyst (Healthcare Data Focus) - Sparksoft

ROLE AND RESPONSIBILITIES:

Analyze healthcare data from a variety of sources, identifying and correcting errors and inconsistencies, and developing and implementing processes to improve data quality.

Define, calculate, and interpret data quality measures across dimensions such as accuracy, completeness, consistency, validity, timeliness, uniqueness, integrity, and conformity.

Collaborate with healthcare and program subject matter experts to establish business rules, thresholds, tolerances, critical data elements, and fit-for-purpose quality expectations.

Work with a range of data types, including structured and unstructured data, and use a variety of tools and techniques to analyze and improve data quality.

Utilize tools and techniques such as statistical analysis, data cleansing and transformation tools, and data governance frameworks.

Document processes, prepare reports, and make recommendations for process improvements.

Collaborate with other teams to implement changes or updates in existing reports.

Present responses and findings to business owners, customers, and leadership.

Perform statistical tests on large datasets to determine data quality and integrity.

Review and understand artifacts related to data ingestion and transformation as it applies to data validation and analysis.

Provide quality assurance reports using tools like QuickSight.

Perform ad hoc data analysis to support programmatic questions and stakeholder requests.

Work as part of a project team to determine project requirements, goals, implementation, and schedules.

Provide training for internal users and customer stakeholders.

Provide technical leadership within the data analytics team and mentor junior team members.

Conduct peer reviews of team members’ work outputs for quality assurance.

Experience with data analytics tools (SQL, R, Python) and data visualization tools (like QuickSight, Python).

Knowledge of databases (PostgreSQL) and data modeling.

Assess/evaluate to deliver timely data reporting and data solutions against client requirements.

Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication.

Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.

REQUIRED EXPERIENCE:

• 5+ years of experience in a data analytics role.
• Demonstrated experience analyzing healthcare data and applying knowledge of healthcare data concepts, terminology, relationships, and business rules.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Hands-on experience assessing data quality using dimensions such as accuracy, completeness, consistency, validity, timeliness, uniqueness, integrity, and conformity.
• Experience using AWS services to query, process, monitor, secure, or visualize data.
• Strong problem-solving skills and a proactive approach to identifying and addressing issues.
• Ability to work effectively in a fast-paced, agile, and deadline-driven environment.
• Must be able to obtain and maintain a Public Trust clearance.
• Must have lived in the United States for 3 out of the past 5 years.

PREFERRED EXPERIENCE:

• Master’s degree with a data or math focus.
• SAFe Agile Certification.
• Perform data profiling and exploratory analysis to identify anomalies, patterns, data quality issues, and opportunities for improvement.
• Validate performance metrics, quality indicators, and reporting outputs to ensure accuracy and consistency across data sources.
• Identify, analyze, and communicate trends, patterns, and anomalies in data to support operational and programmatic decision-making.
• Experience developing dashboards, performance reports, and analytical summaries using business intelligence tools.
• Experience with agile methodologies (SAFe, Scrum) and tools (Jira, Confluence).
• Experience with version control systems (GitHub).
• Experience in healthcare IT and understanding of regulatory requirements such as HIPAA.
• Experience and/or knowledge of CMS processes and standards.

EDUCATION AND CERTIFICATIONS:

• Bachelor’s degree or higher in Computer Science, Information Technology, Math, Data Analytics, or related field.