Peak Health · 20 hours ago
Business Intelligence Engineer
Maximize your interview chances
Insurance
Insider Connection @Peak Health
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Leverages complex analytical tools to provide business and technical expertise to create data driven solutions.
Partners with product, operations, medical management, and provider contracting teams to understand & anticipate reporting requirements, priorities, and key performance indicators.
Supports key business stakeholders, translating data into actionable insights using appropriate analytical solutions.
Produces repeatable and ad-hoc reports for key business stakeholders to measure and interpret business trends.
Participates in a variety of assigned operations initiatives to ensure success in meeting business goals and objectives.
Collects report requirements – interviews and researches business stakeholder needs; drafts, edits and validates requirement documentation.
Provides input on project plans, scope of work, status, and project summary reports.
Communicates results of analysis effectively and regularly to business stakeholders.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Master’s Degree with Internship in Business Administration, Mathematics, Computer Science, Statistics, Information Systems, or a related field.
Two (2) years of experience working with claims data to evaluate reimbursement changes, payment discrepancies, medical expense opportunities, quality outcomes and risk.
Bachelor’s Degree in Business Administration, Mathematics, Computer Science, Statistics, Information Systems, or a related field.
Two (2) years of experience monitoring, managing, manipulating, and drawing insights from data in a managed care company.
Two (2) years of experience working with claims data to evaluate reimbursement changes, payment discrepancies, medical expense opportunities, quality outcomes and risk.
Strong programming skills with query languages such as SQL and the ability to perform effective querying from multiple tables and databases.
Experience with querying tools such as Microsoft SQL Server Management Studio.
Experience with data visualization tools such as Tableau.
Experience working with Oracle, Teradata, Hadoop, etc.
Strong problem solving and quantitative abilities.
Excellent communication and collaboration skills.
Attention to detail.
Effective time management and organizational skills.
Work independently as well as in a team environment.
Proficient computer skills, including experience with Microsoft Office Suite such as Excel functionality (pivot tables, vlookups, macros, etc.)
Preferred
Two (2) years of experience working with Medicare and/or Medicaid Data.