Technical Business Analyst

Elder Research

$70K — $95K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business, Computer Science, Data Science, Information Systems, or a related field.
  • Proven experience as a Business Analyst or Technical Business Analyst.
  • Strong problem-solving and analytical skills to interpret complex data.
  • Excellent written and verbal communication for technical and non-technical audiences.
  • Experience with requirement gathering and technical documentation.
  • Proficient with work management tools like JIRA or Azure DevOps.
  • Strong client delivery and stakeholder management skills.

Responsibilities

  • Conduct process mapping and analysis to find inefficiencies and recommend improvements.
  • Define and maintain data sets, ensuring quality and accessibility.
  • Document user requirements and use cases for effective decision-making.
  • Collaborate to develop new data products and business processes.
  • Translate business requirements into technical specifications for developers.
  • Lead root cause analysis for technical and process issues.
  • Support the development of data governance best practices.

Benefits

  • Hybrid work arrangement allowing flexibility between home and office.
  • Opportunities for professional development and training.
  • Collaborative work environment with cross-functional teams.
  • Engagement in the latest data governance and management practices.
Full Job Description
Technical Business Analyst

Job Title: Technical Business Analyst

Location(s): Raleigh NC

Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available

Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE

Position Overview:

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.

Position 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.

Preferred Skills and Qualifications:
  • 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.

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