Lead Analyst, Data & Analytics (Provider Network - FL)

Molina Healthcare•Long Beach, CA

About The Position

Provides lead-level analyst support for data analysis and reporting activities. Organizes data from multiple sources to produce reports, dashboards, and analyses related to utilization, cost-containment, and business performance. Generates insights to support strategic and operational decision-making, designs reporting and data solutions across business and healthcare domains, and partners with stakeholders to define requirements and develop scalable processes. Applies advanced analytical techniques to identify trends, forecast outcomes, and improve business performance. Supports projects, regulatory requests, and initiatives that improve data quality, reporting workflows, and process efficiency. The role leads the development and maintenance of reports, dashboards, and data solutions; analyzes complex, multi-source healthcare datasets; and oversees data extraction, transformation, integration, validation, and quality assurance. It develops database objects, establishes reporting standards, creates forecasts and recommendations, and consolidates findings into clear summaries for leaders. The position also supports regulatory, contractual, audit, and ad hoc reporting; leads projects and process improvements; collaborates across functions; and provides training and guidance to data analysis team members.

Requirements

At least 6 years of experience in data analysis, reporting, or healthcare analytics, or an equivalent combination of relevant education and experience.
Bachelor's degree in finance, economics, mathematics, business administration, information systems, or a related field.
Analytical problem-solving skills, including the ability to interpret complex datasets, identify patterns, and translate findings into actionable insights.
Advanced proficiency with SQL, relational databases, Power BI, Excel, and reporting and analytics tools including SSRS; ability to learn new technologies quickly.
Experience with healthcare analytics, such as claims, utilization, cost-containment, or medical economics.
Advanced experience working with complex datasets and providing data analysis and insights.
Experience with healthcare utilization metrics, medical cost analysis, and performance indicators.
Experience with predictive modeling concepts and trend forecasting.
Process improvement and automation experience.
Project management experience and experience providing functional guidance.
Ability to manage multiple priorities and deliver results in a fast-paced environment.
Strong attention to detail and accuracy in data validation, report development, and documentation.
Ability to work cross-functionally across a highly matrixed organization.
Effective verbal, written, and interpersonal communication skills, including the ability to collaborate on requirements and present data-related findings and solutions.
Proficiency with Microsoft Office and applicable software programs.

Nice To Haves

Experience with ETL tools such as SSIS and data warehousing concepts.
Familiarity with cloud data platforms, such as Azure data lakes, and business intelligence tools.
Experience supporting regulatory reporting and healthcare payer systems such as QNXT or similar platforms.
Experience with CRM systems such as Salesforce.
Managed care and/or Medicaid experience.
Experience supporting regulatory or encounter reporting.
Microsoft certification or similar technical credentials.

Responsibilities

Lead the design, development, and maintenance of reports, dashboards, and data solutions using tools such as SQL, Excel, and SSRS.
Analyze complex datasets from multiple sources to identify trends, patterns, risks, and opportunities.
Translate business needs into reporting and analytical requirements and partner with stakeholders to deliver actionable insights.
Oversee data extraction, transformation, integration, validation, and quality assurance processes.
Facilitate analysis of healthcare data, including claims, pharmacy, lab, utilization, and cost data.
Develop and maintain database objects such as queries, views, functions, and stored procedures.
Establish and document reporting standards, processes, and best practices.
Ensure data accuracy, integrity, and consistency through quality assurance and validation.
Create forecasts, models, and recommendations using statistical analysis and business context.
Organize, document, and maintain datasets and reporting workflows across business areas.
Summarize research, analysis, and insights into recommendations for business leaders and stakeholders.
Drive process improvements, automation, and standardization in reporting and analytics.
Support regulatory, contractual, enterprise, state-mandated, audit, and ad hoc reporting requirements.
Identify and implement enhancements or fixes to existing reports and reporting processes.
Collaborate with cross-functional teams to define reporting requirements and maintain project and report timelines.
Document methodologies, reporting processes, and business requirements.
Lead projects, including timeline management, requirements gathering, and delivery of high-quality work.
Build cross-functional relationships to influence data-driven decision-making.
Facilitate peer reviews to ensure alignment with quality standards.
Provide training, mentoring, and support to new and existing data analysis team members.