Community Health Choice, Inc. (Community) is a non-profit managed care organization (MCO), licensed by the Texas Department of Insurance. Through its network of more than 10,000 providers and 94 hospitals, Community serves over 400,000 Members with the following programs:

Medicaid State of Texas Access Reform (STAR) program for low-income children and pregnant women

Childrens Health Insurance Program (CHIP) for the children of low-income parents, which includes CHIP Perinatal benefits for unborn children of pregnant women who do not qualify for Medicaid STAR

Health Insurance Marketplace Plans that offer individual health coverage that includes preventive care, emergency services, prescription drugs, and hospitalization available to all, regardless of pre-existing conditions.

Community Health Choice (HMO D-SNP), a Medicare Advantage Dual Special Needs plan for people with both Medicare and Medicaid that combines Medicare Part A and Part B benefits, Medicare Part D prescription drug coverage, and Medicaid benefits with additional health benefits like dental, vision, transportation, and more.

Improving Members' experiences is at the heart of every Community position. We strive every day to make sure that our Members have access to the high-quality health care they need and deserve.

Community is accredited by URAC for its health plan operations. We offer care management programs for asthma, diabetes, and high-risk pregnancy. An affiliate of the Harris Health System (Harris Health), Community is financially self-sufficient and receives no financial support from Harris Health or from Harris County taxpayers.

JOB SUMMARY: The Data Reporting & Analytics Supervisor is responsible for and works directly with management to oversee the design and delivery of reports and insights that analyze business functions, key operations and performance metrics. The Data Reporting & Analytics Supervisor plays an active role in building, developing and maintaining data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions through providing supervision and project oversight to the analytics team. This position participates in the analysis and interpretation of data to effectively meet the requirements of internal and external customers.

MINIMUM QUALIFICATIONS:

1. Education/Specialized Training/Licensure: Bachelors Degree in a related field such as Finance, Business, Statistics, Healthcare Administration, Computer Science required. Training/experience with databases and reporting tools required. These include a combination of the following SQL server, MS Access, Tableau, PowerBI or Crystal Experience in managed care analytics a plus.

Work Experience (Years and Area):

• 3 years in a reporting role, to include demonstrated experience working with relational databases and developing actionable reporting using key metrics communicated in an easy to understand manner.
• 2 years of experience with SQL Server database administration, Experience with SQL Server Analysis Server (SSAS), SQL Server Integration Services (SSIS) and SQL Reporting Services (SSRS).
• 3 years using data analytics and data visualization tools, such as Power BI, Tableau, QlikView,
• Expertise with SQL querying language
• Strong technical and analytical skills with the ability to think creatively and develop new solutions
• Strong organizational, problem solving, and analysis skills
• Ability to work independently with limited supervision and manage multiple priorities

Management Experience (Years and Area): N/A
Software Operated: Microsoft Office (Word, Excel, Outlook)

SPECIAL REQUIREMENTS: (Check Applicable Areas)

Communication Skills:
Above Average Verbal (Heavy Public Contact)
Writing /Composing: Reports

Other Skills: Analytical, Research, Statistical, MS Word , MS Excel

Advanced Education:

Bachelors Degree Major: Finance, Business, Statistics, Computer Science or other relevant field.

Work Schedule: Flexible

Other Requirements:
Must be able to provide exceptional customer service to both internal and external customers. Familiarity with visualization techniques and advanced analytics techniques (regression, simulation, etc.) Must be comfortable with learning, reviewing, interpreting and replicating statistical models.
Some after hour commitment and weekends may be required for special projects.

RESPONSIBLE TO: Manager

EMPLOYEE SUPERVISED: Professional Staff