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Data Analyst

sparksoftcorporation • Remote/Hybrid if local to Maryland


No Relocation

Posted: September 16, 2026

Job Description

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.
  • Work 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.
  • Use 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 the existing reports.
  • Present responses and findings to business owners, customers, 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, with practical knowledge of services relevant to cloud analytics and data quality.
  • Strong problem-solving skills and a proactive approach to identifying and addressing issues.
  • Ability to work effectively in a fast-paced, agile environment and deadline-driven environment.
  • Must be able to obtain and maintain a Public Trust clearance.
  • Must have lived in the United States 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 the 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.