Technical Business Analyst at Elder Research in Raleigh, NC

Job description

• 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.

Responsibilities

• 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.

Requirements

• 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.

Skills

Preferred

• SQL
• Python, R, or similar
• Power BI, Tableau, Looker
• ETL processes, APIs, system integrations
• AWS, Azure, GCP
• Data science models
• Software Development Life Cycle (SDLC)