Senior Data Analytics Specialist
About The Position
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. The Data Analyst V (DA V) provides highly complex (senior-level) data analytics work and leads and oversees advanced analytic projects in support of HHSC programs, executive management, and legislative entities. The DA V designs, develops, and conducts data validation for newly acquired data marts; applies advanced research designs and statistical methods to health and human services (HHS) data, including statistical modeling and trend analysis; develops and maintains advanced scripts and code using computer-based query language software; and prepares and delivers reports, presentations, and other analytic work products for HHSC departments. The DA V evaluates and assesses data analytics and machine learning tools and provides technical and analytic recommendations to inform leadership decision-making. The position translates complex analytic and programming concepts into clear, actionable guidance for leadership and program stakeholders and leads special projects and high-priority analytic initiatives. The DA V serves as a subject-matter expert and provides consultative and technical assistance on best practices in data analysis, data management, statistical analysis, data modeling, and reporting standards. The DA V works under limited supervision, with moderate latitude for the use of initiative and independent judgment, providing technical leadership, mentoring staff, and reviewing the work products of other analysts.
Requirements
- Knowledge of HHS programs and data systems.
- Knowledge, experience, and advanced ability in using SQL, SQLPlus, PL/SQL, Tableau, Power BI, Excel, Oracle, SQL Developer, Snowflake, Business Intelligence tools, Python, R, and/or SAS.
- Knowledge and understanding of relational databases, data processing practices, and theory.
- Knowledge of data governance, data quality, and analytic best practices.
- Knowledge in researching and troubleshooting data issues and solving complex problems.
- Knowledge in report development and automation.
- Knowledge and comprehension of data solutions, reporting methodologies, math, and statistical report design.
- Working knowledge of machine learning concepts, models, and common analytic use cases.
- Ability to creatively solve complex data problems, apply new technology, and perform detailed work accurately under stressful conditions while managing multiple projects and tight deadlines.
- Ability to present information to a variety of audiences verbally and in writing and to communicate clearly, concisely, and effectively.
- Ability to exercise independent judgment, show initiative, and manage complex analytic work.
- Must be skilled in working in a collaborative environment that may cross departments and/or agencies, and must communicate effectively with team members.
Nice To Haves
- Master's degree or higher preferred.
- Three years or more work and experience with acquisition, collection, management, analyses, and visualization of health and human services related data and/or large datasets preferred.
Responsibilities
- Writes, reviews, and optimizes advanced scripts and code using computer-based query language software (e.g., SQL, R, Python) to extract, manipulate, and analyze large datasets.
- Designs and conducts validation activities for newly acquired data marts to ensure data accuracy, completeness, and reliability.
- Applies advanced research designs and statistical methods to health and human services data, including statistical modeling, forecasting, and trend analysis.
- Evaluates, compares, and recommends data analytics and machine learning tools for agency use, considering scalability, governance, and business needs.
- Prepares and delivers a variety of technical reports, dashboards, presentations, and data visualizations tailored for different audiences, including HHSC department leadership and legislative entities.
- Provides expert-level consultation on data analysis methodologies, data management best practices, statistical modeling techniques, and reporting standards.
- Identifies use cases and develops database prototypes for data connectivity across HHS programs.
- Anticipates analytic limitations in agency data and identifies potential solutions to support data quality improvement.
- Advances understanding of agency programs through novel research and technological ideas and methods.
- Supports management in monitoring project timelines, decision points, and key deliverables.
- Demonstrates organizational skills, professional judgment, and the ability to anticipate project barriers.
- Provides guidance related to the selection and use of preferred data management and analytic tools.
- Defines, develops, and implements data and reporting standards.
- Helps oversee the work of others; provides training, guidance, and feedback to team members.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
