Jr. Data Quality Analyst

Sparksoft Corporation • Remote/Hybrid if local to Maryland, MD

1d • Hybrid

About The Position

The Jr. Data Quality Analyst will ensure continuous improvement of the program's data quality through solutions and strategies that address business challenges. This role involves working closely with data operations and reporting teams to design, develop, and execute automated data reporting solutions with the highest standards of quality and performance. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively in a SAFe Agile environment. The Data Quality Analyst will play a critical role in improving the quality and accessibility of data solutions to support the Centers for Medicare & Medicaid Services (CMS) in detecting and preventing fraud, waste, and abuse within government-sponsored health programs.

Requirements

• 2+ years of experience in a data quality analysis role.
• Experience with Agile methodologies, including SAFe and Scrum, and tools, including Jira and Confluence.
• Excellent communication skills and the ability to work collaboratively in a team environment.
• Strong problem-solving skills and a proactive approach to identifying and addressing issues.
• Ability to work effectively in a fast-paced, Agile, deadline-driven environment.
• Must be able to obtain and maintain a Public Trust clearance.
• Must have lived in the United States for 3 of the past 5 years.
• 2+ years of experience in a data analysis role.

Nice To Haves

• Bachelor's or master's degree with a data or math focus.
• SAFe Agile certification.
• Experience with version control systems, including GitHub.
• Experience in healthcare IT and an understanding of regulatory requirements such as HIPAA.
• Experience with and/or knowledge of CMS processes and standards.

Responsibilities

• Analyze data from a variety of sources, identify and correct errors and inconsistencies, and develop and implement processes to improve data quality.
• Ensure the accuracy, completeness, and reliability of APS data.
• 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.
• Develop and implement data quality policies, procedures, and standards.
• Document processes, prepare reports, and make recommendations for process improvements.
• Develop new processes and procedures to enhance operations.
• Collaborate with other teams to implement changes or updates to existing reports.
• Demonstrate advanced Excel expertise, including the use of pivot tables, formulas, and conditional formatting.
• Present responses and findings to business owners, customers, and leadership.
• Provide support for ad hoc analysis to meet customer needs.
• Perform statistical tests on large datasets to determine data quality and integrity.
• Collaborate with the internal team to improve data collection and storage processes.
• Analyze and identify data quality issues and develop methods to address data quality problems.
• Review and understand artifacts related to data ingestion and transformation as they apply to data validation and analysis.
• Provide quality assurance reports using tools such as Excel, SharePoint, Power BI, and Tableau.
• Streamline internal processes focused on organizational support using tools such as Excel, SharePoint, Power BI, and Tableau.
• 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.
• Develop scripts and dashboards to monitor the accuracy and quality of data flow.
• Maintain data accuracy and quality checks by regularly monitoring and reviewing dashboards and reports.
• 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.
• Use data analytics tools, including SQL, R, and Python, and data visualization tools, including Tableau, Power BI, and AWS QuickSight.
• Apply knowledge of databases, including PostgreSQL and Oracle, and data modeling.
• Assess and evaluate timely data reporting and data solutions against client requirements.
• Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication.
• Manage multiple clients and projects or tasks simultaneously.
• Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.

Benefits

• Competitive compensation
• 401(k) with employer contributions
• Flexible paid time off
• Hybrid ways of working
• Comprehensive health coverage—including medical, dental, vision, life, and disability insurance
• Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events
• Training and development programs

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level