Senior Data Analyst

Med Metrix•Parsippany-Troy Hills, NJ

11d

About The Position

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.

Requirements

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)
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

Nice To Haves

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

Responsibilities

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 workstreams 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