Title: Business Data Analyst
Client HHSC (Health & Human Services - State of TX)
MUST already be local to Austin, TX.
Looking for prior experience with any state agency
Prior experience with MMIS (Medicaid Systems) so likely someone who worked either for TX HHSC or any other state HHSC
Location: Hybrid 3 days a week onsite in Austin, TX
Duration: Multi year
Send resume, proof of address and attached form. All the required skills below must be in resume for the 10 years (preferred will be as many years as they listed)
MUST HAVE
10 Required Hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and
documentation skills.
10 Required Proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and
recommend actionable solutions.
10 Required Experience designing and optimizing data workflows and data management processes using modeling or mapping tools.
10 Required Well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and
non-functional requirements to development and quality assurance teams
8 Required Experience creating and maintaining data-related documentation including data dictionaries, business requirement documents,
and data mapping specifications.
8 Required Experience designing and presenting visual data models and dashboards to communicate trends, performance, and project
timelines.
8 Required Demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues.
PREFERRED
4 Preferred Bachelor's degree in data science, Computer Science, Information Systems, Business Analytics, or a related field. Equivalent
experience may be substituted.
4 Preferred Strong multi-tasking skills with the ability to manage multiple data projects or assignments concurrently.
3 Preferred Working knowledge of eligibility rules for SNAP, Medicaid, and TANF programs, with experience interpreting and applying state and
federal guidelines.
3 Preferred Proven experience interpreting and applying policy within an integrated eligibility case management system.
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system. The Business Data Analyst will primarily focus on analyzing existing business requirements to understand current functionalities, data flows, and pain points. The role will then leverage this understanding to elicit and write comprehensive business requirements for new systems or enhancements. A key responsibility will be translating complex business needs into clear, actionable requirements. The role must be well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams. The role will collaborate closely with business stakeholders, product owners, and technical teams to ensure alignment between business objectives and system capabilities. The ideal candidate will possess strong data analysis skills, an ability to document current state processes, and a proactive approach to identifying opportunities for process and system improvements. Excellent communication and interpersonal skills are essential for facilitating workshops, gathering information, and presenting findings to diverse audiences.
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