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• Own and support the data needs of the clinic, including capturing requirements and building dataset, reports, and dashboards.
• Responsible for evaluating report requests to determine requestor’s needs and objectives, identifying correct methodology for extracting data including data sources and criteria, and ensuring the delivered report is accurate, timely, and formatted appropriately,
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Participates in analysis, interpretation, and translating of complex health plan data, issues, trends and relationships into effective strategies and action plans.
• Filter and clean day by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Works closely with the Medical Director to understand and maintain focus on their analytic needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
• Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drive business performance, investigating and communicating areas for improvement in efficiency and productivity.
• Direct and engage volunteers who support this position, provide on-going training and support to ensure quality service on the behalf of volunteers.
• All other duties as assigned.

• Proven analytical skills, including mining, evaluation, analysis, and visualization.
• Strong SQL or Excel skills with the ability to learn other analytical tools.
• Practical experience with frameworks including XML, Javascript, and ETL. Preferred
• Practical experience in statistical analysis through the use of statistical packages including Excel, SPSS, and SAS - Preferred
• Proven success in a collaborative, team-oriented environment. Preferred

Education: Bachelor’s degree in Computer Science, Mathematics, Information Management or Statistics.