Sr Data Analyst, Enrollment Research and Data Analytics (Remote)

Molina Healthcare•Long Beach, CA

1d•Remote

About The Position

This role is a Senior Data Analyst on our Research & Analytics team that supports enrollment operations. We work with member and enrollment data across lines of business like Medicaid, Medicare, Marketplace, and Duals. Our main job is to analyze data issues, fix data when needed, and build reporting and dashboards that help our operations teams run smoothly. Ultimately, our work ensures members have accurate coverage and maintain compliance with CMS/state regulations. Designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis, modeling, and predicting to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Collaborates across departments and with customers to define requirements and understand business problems. Uses advanced mathematical, statistical, querying, and reporting methods to develop solutions. Develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Creates solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Effectively uses current and emerging technologies.

Requirements

Advanced SQL
Power BI
SSRS
Azure Databricks
Enrollment experience
Eligibility and member data experience
EDI transactions (834) experience
Associate degree or equivalent combination of education and experience
3-5 years of experience

Nice To Haves

Python
R
Bachelor's Degree or equivalent combination of education and experience
5-7 years of experience

Responsibilities

Analyze data issues and fix data when needed.
Build reporting and dashboards to help operations teams run smoothly.
Ensure members have accurate coverage and maintain compliance with CMS/state regulations.
Design and implement processes and solutions for data mining, analysis, modeling, and prediction.
Apply statistical analysis techniques to examine structured and unstructured data.
Collaborate across departments to define requirements and understand business problems.
Use advanced mathematical, statistical, querying, and reporting methods to develop solutions.
Develop information tools, algorithms, dashboards, and queries to monitor and improve business performance.
Create solutions from initial concept to fully tested production.
Communicate results to a broad range of audiences.
Effectively use current and emerging technologies.
Compile, manage, and analyze data with limited supervision.
Extract and compile information and large data sets from various systems or applications.
Set up processes for monitoring, tracking, and trending information and data.
Prepare well-organized, easily understood reports, analysis, and summaries of findings.
Assist in the preparation of regularly produced reports to support executive decision-making.
Research and analyze report results, identifying opportunities and trends.
Work with internal, external, and enterprise individuals to research, develop, and document new standard reports or processes.
Consolidate data from multiple sources using industry-based tools or manually.
Process data effectively using Microsoft Excel.
Support management and other team members on data-related tasks.