Data Outcome Coordinator (Dallas)

Texas Family Care Network • Dallas, TX

18h • Onsite

About The Position

The Data Outcome Coordinator specializes in analyzing and interpreting data to derive actionable insights and drive decision-making. This role will be responsible for uncovering trends, patterns, insights, and utilizing data visualization tools to present findings effectively to drive contractual performance outcomes. In addition, the position supports the development, implementation, and maintenance of systems and activities designed to improve quality throughout the organization. The Data Outcome Coordinator will perform all job duties in a way that demonstrates and emphasizes kind and respectful behavior, purposeful connection, and integrity in a service-oriented manner.

Requirements

• Requires a bachelor’s degree from an accredited college or university in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, psychology, or a related field or equivalent experience may be substituted.
• Requires a valid state driver’s license and safe driving record.
• Requires reliable transportation and current auto insurance.
• Requires one (1) year of experience in data analysis, research, compilation, and/or reporting work.
• Requires DPS, DFPS, FBI, CBCU Eligibility Determination, and Child Abuse Clearances.

Responsibilities

• Acts as a liaison between departments to maximize data quality for the Texas Family Care Network and the provider network.
• Presents findings and recommendations in a clear and concise manner, facilitating data-driven decision-making process.
• Utilizes data visualization tools to create reports, dashboards, and presentations.
• Monitors contractual performance outcomes for Texas Family Care Network and subcontractors.
• Collects, cleans, and processes large datasets to ensure data accuracy and integrity.
• Identifies data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships within data.
• Receives supervision from and actively communicate with supervisor on an ongoing basis throughout the week by phone, email, written message and when possible, in person regarding program matters.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level