Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Data Analyst IV performs complex data analysis, statistical modeling, visualization, and reporting of results to support program, policy, and financial decision-making within the Long-Term Services and Supports (LTSS) section of the Provider Finance Department (PFD). This role consults with internal and external teams to identify analytics needs, integrate diverse data sources, resolve data anomalies, and communicates findings in clear, actionable formats.

Responsibilities

• Performs complex data analysis, financial modeling, and visualization.
• Collects, integrates, queries, cleans, and analyzes large and complex data sets using standard and advanced languages and analytics software such as SQL, MS Excel, SAS, Python, or R.
• Builds and maintains dashboards and visualizations to identify significant differences, patterns, and trends that inform decisions.
• Supports complex calculations and financial modeling for rate methodology development, fiscal estimates, and utilization analyses.
• Assists in cost report development.
• Ensures data quality and data integrity improvement.
• Assists in developing standards, usage guidelines, and procedures for data analysis tools and software.
• Develops and implements data and reporting standards to improve consistency, repeatability, and auditability of analyses.
• Establishes and maintains standard work procedures governing the appropriate use of data and reporting artifacts.
• Reviews the work of colleagues and members of other teams for accuracy, completeness, and conformance with standards, policies, and procedures.
• Identifies data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships within data.
• Contributes to internal and external stakeholder outreach and communication initiatives.
• Collaborates with program, policy, research, and cost report teams to respond to requests for information related to rates, services, providers, funding, and utilization.
• Develops concise, comprehensive reports and presentations to interpret results, identify alternatives, and make and justify recommendations for internal and external stakeholders.
• Participates in departmental learning initiatives, training and information-sharing sessions, and presents DAC analyses at departmental seminars.
• Communicates data insights to internal and external stakeholders using clear language and appropriate visual formatting.
• Facilitates data model development and automation.
• Assists in the development of data models and data management and analysis tools.
• Evaluates data management and analysis tools and provides input on application and software adoption.
• Facilitates automation and efficiency initiatives and recognizes opportunities for automation of standardized and ad hoc processes, projects, and reports.
• Coordinates tasks and ensures timely project completion.
• Coordinates analytic work and ensures work products meet deadlines and quality expectations.
• Assists DAC manager in cross-team data analysis projects and ensures conformance to departmental needs, standards, and best practices.
• Is available to answer questions and assist others when needed.
• Performs other related work as assigned in support of LTSS Provider Finance priorities.

Requirements

• Graduation from an accredited four-year college or university.
• At least 1 year of experience in data analysis, research, compilation, and/or reporting, related to public health or medical billing data (e.g., Medicaid, Medicare, service utilization and reimbursement, provider enrollment).
• At least 3 years of experience with data analytics.
• Applicants must complete the online application in full, including a summary of experience that clearly describes how they meet the initial selection criteria.
• Applicants selected for hire may be required to pass background and other due diligence checks.

Skills

• Knowledge of statistics, data set analysis, running queries, report writing, presenting findings, and record keeping, including security procedures for handling, protecting, and distributing confidential data.
• Knowledge of data models, database design development, data mining, and segmentation techniques.
• Skills in the use of a computer and applicable software, conducting data searches, evaluating and translating large amounts of data, and critical thinking.
• Skill in analyzing problems and devising effective solutions.
• Ability to compile, review, and analyze data, prepare reports, maintain accuracy and attention to detail, and communicate effectively.
• Demonstrated ability to complete multi-step analytic projects.
• Advanced skills with analytic tools and languages (e.g., SQL, Excel, SAS, Python, R, Tableau, or similar) (preferred).
• Knowledge of Texas Medicaid reimbursement policy/rules and experience with Health and Human Services data; strong analytical mindset when working with large government program data (preferred).

Location

• AUSTIN

Work Type

• Eligible for Telework
• Full time
• Regular

Experience Level

• 1 year of experience in data analysis, research, compilation, and/or reporting
• 3 years of experience with data analytics

Education Level

• Graduation from an accredited four-year college or university

Salary/Compensations

• $5,425.33 - $8,886.16 Monthly

Benefits

• 100% paid employee health insurance for full-time eligible employees
• A defined benefit pension plan
• Generous time off benefits
• Numerous opportunities for career advancement

About the Company

• Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans.
• At HHSC, your contributions matter, and we support you at each stage of your life and work journey.

Equal Opportunity

• HHSC uses E-Verify.
• In compliance with the Americans with Disabilities Act (ADA), HHSC and DSHS agencies will provide reasonable accommodation during the hiring and selection process for qualified individuals with a disability.