Role Overview: The Plan Analytics Analyst advances data-driven decision-making across the organization by partnering with leadership and serving as a trusted source for data, reporting, and insights. Through comprehensive analysis, this role delivers clear, actionable recommendations that inform organizational strategy and build strong partnerships, while consistently delivering high-quality outcomes and effective solutions.
Work Arrangements:
Responsibilities:
Define business problems, assess relevant variables and forces that impact the issue, recognize relevant patterns in data, and provide solutions and information to solve business problems and needs.
Work with management, operations units, stakeholders, and the reporting staff to prepare clear, sound, accurate, and informative reports containing findings, analysis, conclusions, and recommendations.
Facilitate and deliver state- and regulatory-recurring and ad hoc reporting to the state.
Generates data analytics to identify recovery opportunities for fraud, waste, and abuse.
Capability to adopt data mining across multiple data platforms (Facets, Jiva/eLTSS, STC, CareAnalyzer, supplemental files).
Conduct and document QA testing for analytic and reporting solutions.
Cross-pollinate across multiple corporate areas to understand workflows, document processes, and ensure the highest quality product delivery.
Serve as a thought leader for technical business processes, developing forward-thinking prototypes that promote increased efficiency and productivity on multiple levels.
Learn rapidly and enthusiastically, focusing on understanding the application/product/area in detail.
Coordinate and facilitate meetings with the business, analytics, and development teams to create visualizations and reports for requested projects.
Perform other duties as assigned by Management.
Education & Experience:
Bachelor's Degree in Business or equivalent experience
1 to 3 years of healthcare experience
2 or more years of analytics experience.
Technical skills in Excel, PowerPoint, Tableau, SAS and SQL with the ability to learn other analytic tools.
Python coding experience required.
Experience with Databricks and PySpark required.
Skills & Abilities:
Strong organizational skills, close attention to detail, and excellent written and verbal communication skills
Strong technical writing skills (business requirements, queries, reports, presentations).
Advanced analytical and quantitative skills
Experience in collecting, organizing, mining, analyzing, visualizing, and communicating large volumes of information with high accuracy
Experience conducting and documenting QA testing using structured problem-solving techniques
Strong time management and prioritization skills, and ability to meet deadlines
Multitask and deliver high-quality work reflecting a full understanding of expectations.
As a company, we support internal diversity through:
Recruiting. We are an equal opportunity employer. We do not discriminate on the basis of age, race, ethnicity, gender, religion, sexual orientation, or disability. Our inclusive, equitable approach to recruiting and hiring reinforces our commitment to DEI.
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