Degree in Computer Engineering
Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
The Data Analyst (Healthcare Analytics) will have the opportunity to make a significant impact through the discovery, development, and implementation of leading-edge analytics that answer important business questions. The analyst will collaborate with key corporate and health plan business partners for the purpose of identifying and delivering robust reporting and analytics capabilities to drive improved business performance.
Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred. 6+ years of experience working with large databases, data verification, and data management or 5+ years IT experience. Healthcare analytics experience preferred. Experience with table creation and indexing, query optimization, and utilization of stored procedures. Ability to integrate, validate, and reconcile data from multiple sources as well as design and construct analysis tools that extract, prepare, analyze, and store/present results to support business needs. Knowledge of query development using SQL or other coding languages. Experience in change management processes and procedures preferred. Knowledge of basic statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Proven knowledge of analytical tools, including R, Python, SAS, ArcGIS, QGIS, Microstrategy, Tableau, Hadoop, or related tools preferred. Proven knowledge of relational databases preferred. Proven knowledge of automation capabilities such as batch processes, stored procedures, scripting languages, Microstrategy, or other tools preferred.
Experience in provider contracting, claims pricing, financial reporting/analysis, data modeling, statistical modeling, data science, or geospatial/reimbursement analysis preferred
Experience in public health (biostatistics), population health, social determinants of health, data science, social science, or geospatial/ROI/financial analysis preferred
Experience working closely with accounting & finance business partners, using analytic techniques & tools to explore financial performance trends, or regulatory reporting with external agencies preferred; Familiarity with claims data, utilization, rate setting, risk adjustment, or member eligibility and reconciliation preferred
Fraud, Waste & Abuse
Experience in fraud/waste/abuse identification and investigation, provider billing, or clinical coding preferred; Experience with data mining, machine learning, artificial intelligence, or statistical modeling preferred
Experience in risk adjustment, clinical coding, financial reporting/analysis, or CMS/State encounters and regulatory file submissions preferred; Experience with data mining, population health, and statistical modeling preferred
Experience with HEDIS, NCQA, Medicare Star Rating System, QRS, or other quality measures preferred; Quality auditing or analysis of call center performance preferred; Experience with data mining, population health, and statistical modeling preferred
Tools & Technology
Experience with report/dashboard development, data/report automation, self-service capabilities, data design and integration, or data quality and governance preferred
Centene Corporation is a large publicly traded company and a multi-line managed care enterprise that serves as a major intermediary for both government-sponsored and privately insured health care programs. It is a healthcare insurer that focuses on managed care for uninsured, underinsured, and low-income individuals. Centene is the second-largest publicly traded corporation based in the state of Missouri. It ranked No. 42 in the 2020 Fortune 500