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 [email protected] and provide your name and contact information.
Skills Required
- 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
- Excellent written and verbal communication skills
- Experience with requirement gathering, user stories, and technical documentation
- Proficiency with work management and tracking tools (e.g., JIRA, Azure DevOps)
What We Do
Elder Research is a recognized leader in data science, machine learning, and artificial intelligence consulting. Founded in 1995 by Dr. John Elder, Elder Research has helped government agencies and Fortune Global 500® companies solve real-world problems in diverse industry segments. Our goal is to transform data, domain knowledge, and algorithmic innovations into world-class analytic solutions. When we combine the business domain expertise of our clients with our deep understanding of advanced analytics, we create a team that can extract actionable value from the data. Our areas of expertise include data science, text mining, data visualization, scientific software engineering, and technical teaching. Experience with diverse projects and algorithms, advanced validation techniques, and innovative model combination methods (ensembles) enables Elder Research to maximize project success for a continued return on analytics investment. In 2020 we acquired the Institute for Statistics Education at Statistics.com to provide focused data science, analytics, and statistics training for corporations and individuals. The Institute’s certificates and degrees are certified by the State Council of Higher Education for Virginia, and its courses are approved by the American Council on Education. Elder Research’s Analytics Services are designed to scale based on the unique requirements of each organization and can maximize the client’s return on analytic investment. Elder Research is also a leader in advanced analytic training and offers a variety of training services directed at each of the key stakeholders within an organization. Training builds a common foundation and vision for analytics across business units and lead to the successful adoption, deployment, and maintenance of analytic models within an organization.
