Verifying presence of all required data fields and that applicable medical records are included. Referring claims for medical claim review as necessary. Applicants must meet the following qualifications: 2+ years of recent Health Insurance Claims Processing experience.
Must have a Bachelor's Degree in Accounting or an Associate of Applied Science Degree in Accounting. Highly proficient in Google Docs, Google Drive, Outlook, and other basic computer skills. Must have a solid understanding of Debits and Credits and how to create journal entries.
Preparing the firm’s data submissions for compensation surveys, analyze results, develop market ranges, and model compensation increase data. Required Skills: B. A. or B. S. degree and preferably in Business, Finance, or a related field. 3-5+ years in broad-based compensation analysis.
A business improvement company is seeking a Remote Fraud and Analytics Data Scientist. Must be able to: Perform analysis to support the deployment of fraud prevention analytical models. Research data patterns in order to find patterns predictive of fraud.
Ensuring data integrity and fidelity to project management best practices. Facilitating knowledge management and transfer. Qualifications for this position include: Bachelor’s Degree (related field preferred) 4+ years of relevant experience.
A consumer and business credit reporting company has an open position for a Remote Commercial Data Science Strategy Consultant. Core Responsibilities of this position include: Executing projects in support of the direct revenue goal.
Auditing paid claims data to identify case overpayments. Using pertinent data and facts to identify and solve a range of problems within area of expertise. Examining, assessing, and documenting business operations and procedures. Must meet the following requirements for consideration:
Maintaining large scale data to aid in and assist with analysis. Maintaining current SAS production processes. Reducing inefficiencies within production processes. Qualifications for this position include: Bachelor’s degree in a quantitative field. 2+ years of SAS experience.
2+ years of experience developing product pricing and utilizing financial modeling. 3+ years of experience working with large data sets and making data-driven analytical decisions. Background/experience in primary and emergency care.