Senior Data Analyst

Job Purpose

The Senior Data Analyst is responsible for transforming complex data into actionable insights that support strategic and operational decision‐making. This role combines advanced SQL expertise, strong analytical capabilities, and business acumen to partner with stakeholders and technical teams to solve complex problems, improve performance, and enable data‑driven strategies. The Senior Data Analyst will bridge the gap between data, technology, and business outcomes in a fast‑paced, collaborative environment.

• Develop, write, and optimize complex SQL queries to extract, manipulate, and analyze large datasets from multiple sources
• Perform advanced analyses to identify trends, risks, and opportunities
• Design and maintain dashboards, reports, and data visualizations to support business performance
• Automate recurring reports and enhance scalable, efficient reporting processes
• Collaborate with stakeholders to understand business objectives and translate requirements into analytical solutions
• Conduct deep‑Dive and root cause analyses to inform recommendations and decision‑making
• Present findings and insights clearly to both technical and non‑technical audiences, including leadership
• Serve as a subject matter expert on metrics, KPIs, and performance measurement
• Ensure data accuracy, integrity, and consistency across systems and reporting tools
• Partner with data engineering teams to enhance data models, pipelines, and ETL processes
• Define and document business rules, data definitions, and quality standards
• Validate and reconcile data to ensure reliable analytics and reporting
• Lead analytical work streams and manage multiple priorities simultaneously
• Support cross‑functional initiatives with analytical guidance
• Mentor junior team members and promote best practices in SQL development and analytics
• Other duties as assigned
• Use, protect and disclose patients’ protected health information (PHI) only in accordance with Health Insurance Portability and Accountability Act (HIPAA) standards
• Understand and comply with Information Security and HIPAA policies and procedures at all times
• Limit viewing of PHI to the absolute minimum as necessary to perform assigned duties

• Bachelor’s degree in Business, Analytics, Computer Science, Information Systems, Mathematics, or related field
• 4–5+ years of experience in business or data analysis with strong SQL focus
• Advanced SQL proficiency (e.g., complex joins, CTEs, window functions, indexing, optimization)
• Strong understanding of data warehousing, relational databases, and ETL concepts
• Experience with BI/reporting tools (e.g., Tableau, Power BI, Looker, or similar)
• Experience with scripting languages such as Python or R preferred
• Familiarity with cloud data platforms (e.g., AWS, Azure) preferred
• Experience in healthcare or other data‑intensive industries preferred
• Experience working in fast‑paced or agile environments preferred
• Ability to translate complex data into clear, actionable insights
• Proficiency in Microsoft Office Suite
• Excellent analytical skills
• Strong interpersonal skills, ability to communicate well at all levels of the organization
• Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses
• High level of integrity and dependability with a strong sense of urgency and results oriented
• Excellent written and verbal communication skills required
• Gracious and welcoming personality for customer service interaction

• Must possess a smart‑phone or electronic device capable of downloading applications, for multifactor authentication and security purposes
• Physical Demands:
  While performing the duties of this job, the employee is occasionally required to move around the work area; sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear
• Mental Demands:
  The employee must be able to follow directions, collaborate with others, and handle stress
• Work Environment:
  The noise level in the work environment is usually minimal

Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non‑merit based factors, or any other characteristic protected by federal, state or local law.