Technical Business Analyst

Elder Research

Raleigh, NC

JOB DETAILS
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Atlassian JIRA, Automation, Backlog Prioritization, Best Practices, Business Analysis, Business Intelligence Software, Business Model, Business Processes, Cloud Computing, Communication Skills, Computer Programming, Computer Science, Cross-Functional, Customer/Client Research, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Sets, Data Visualization Tools, Database Extract Transform and Load (ETL), Detail Oriented, DevOps, GCP (Good Clinical Practices), Information Technology & Information Systems, Looker, Microsoft Windows Azure, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Process Analysis, Process Improvement, Process Modeling, Product Development, Python Programming/Scripting Language, R Programming Language, Requirements Management, Root Cause Analysis, SQL (Structured Query Language), Software Development Lifecycle (SDLC), Sprint Planning, Standup Meetings, System Integration (SI), Tableau, Technical Writing, Unified Modeling Language (UML), Use Cases, Writing Skills
LOCATION
Raleigh, NC
POSTED
Today

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.

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.

About the Company

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Elder Research