Overview
Skills
Job Details
Senior Business Data Analyst
Austin, TX - Onsite - Only Locals
One Year Contract
This is a Hybrid Position - NO REMOTE Position available.
We are currently hiring candidates who are authorized to work on our W2.
Candidate with previous state/govt client experience is preferred.
Position will be 2 days remote with 3 days (Mon, Tues & Thurs) required to be ONSITE at the location listed above.
Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius).
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
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.
- CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements: | ||
Years | Required/Preferred | Experience |
13 | Required | Hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills. |
13 | 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. |
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. |