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<div><b style="font-size: 18px">How you will help</b></div><div>You'll ensure that our clients have the highest quality of data to make their everyday decisions. As a Data Solutions Analyst, it will be your responsibility to troubleshoot and resolve complex data quality issues. Our team will also rely on you for your expertise with healthcare data and your strong SQL skills.</div><div>&nbsp;</div><div><b style="font-size: 18px">What you will do</b></div><div>• Analyze all vendor data assets and correct complex data anomalies</div><div>• Provide guidance and support during the vendor on-boarding process which includes data ingestion, normalization, and QC activities</div><div>• Provide expertise on all healthcare data types: medical claims transactions (e.g. 837 and 835), pharmacy claims (NCPDP D.0), EMR/EHR, lab transactions, and other emerging data assets</div><div>• Provide Quality Assurance for new Data Source mapping and normalization SQL produced by Data Architect</div><div>• Develop repeatable testing routines to expedite QA that can also be used to closely monitor the recurring ingestion for ongoing QC</div><div>• Develops and maintains trend analysis for longer-term, historical quality control.&nbsp;</div><div>• Perform analytics against healthcare data using SQL-based programming tools</div><div>&nbsp;</div><div><b style="font-size: 18px">You are…</b></div><div>• A data geek with enviable SQL skills and a passionate sense of ownership</div><div>• A self-starter who enjoys working in a small, rapidly changing, fast-paced environment</div><div>• Confident enough to course correct a process or team when required</div><div>• Methodical, executing through several approaches to determine the best fit</div><div>• Energized by learning even if outside the scope of day-to-day responsibilities</div><div>• Comfortable working on several different tasks throughout your workday</div><div>&nbsp;</div><div><b style="font-size: 18px">Skills and experience</b></div><div>• BS degree in math, statistics, or equivalent experience </div><div>• 4+ years working with Medical claims, Pharmacy claims and Electronic Health (Medical) Records</div><div>• 4+ years of experience in the healthcare data industry, preferably in a consulting or analytic-based environment</div><div>• Proficient in programming against large data assets with a working knowledge of SQL, preferably also knowledgeable in SAS and/or R</div><div>• Ability to gather requirements, test strategies, and design deliverables</div><div>• Knowledge of the healthcare industry and analytics utilized by pharmaceutical marketing teams</div><div>• Proven analytical, evaluative, and problem-solving abilities</div><div>• Skilled teaching and instruction capability</div><div>• Extensive experience working in a team-oriented, collaborative environment</div><div><br></div>