Technical Business Analyst

Technical Business Analyst

• Bachelor’s degree in Business, Computer Science, Data Science, Information Systems, or a related field.
• Proven experience as a Business Analyst, Technical Business Analyst, or in a related role.
• Strong problem-solving and analytical skills with the ability to interpret complex data.
• Excellent written and verbal communication skills, with the ability to engage both technical and non-technical audiences.
• Experience with requirement gathering, user stories, and technical documentation.
• Proficiency with work management and tracking tools (e.g., JIRA, Azure DevOps).
• Strong client delivery and stakeholder management skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Familiarity with data governance frameworks and best practices.

• Experience with SQL for data querying, validation, and reporting.
• Programming skills (Python, R, or similar) for data analysis and automation.
• Familiarity with data visualization tools (Power BI, Tableau, Looker).
• Understanding of ETL processes, APIs, and system integrations.
• Knowledge of cloud-based data platforms (AWS, Azure, GCP).
• Familiarity with data science models and their applications.
• Understanding of and ability to contribute to the Software Development Life Cycle (SDLC).
• Strong attention to detail and ability to create clear technical documentation.

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

As a Technical Business Analyst, you will play a key role in bridging business needs with technical solutions. In this role, you will:

• Conduct process mapping and analysis to identify inefficiencies, recommend improvements, and support process optimization.
• Define, catalog, and maintain data sets while ensuring data quality, integrity, and accessibility.
• Identify and document data users, their requirements, and use cases to enable effective decision-making.
• Collaborate cross-functionally to develop new data products, solutions, and business processes.
• Translate business requirements into technical specifications for developers, engineers, and stakeholders.
• Lead initial issue response and root cause analysis for technical and process-related challenges.
• Facilitate collaboration through visualization and ideation tools (e.g., MIRO, Mural, FIGMA, Notion).
• Support the development and implementation of data governance and data management best practices.
• Conduct business process modeling using frameworks such as BPMN or UML.
• Gather and document requirements through user stories, use cases, and functional/non-functional specifications.
• Perform data analysis and reporting using Excel, SQL, or BI tools.
• Work within Agile frameworks, including sprint planning, backlog refinement, and stand-ups.
• Partner with technical teams to bridge the gap between business needs and technology solutions.