Technical Data Management Business Analyst
3 weeks ago
Software Methods is seeking a Technical Data Management Analyst for a one year contract assignment at our client in the King of Prussia, PA area. This is a hybrid opportunity.
The role focuses on supporting master data management initiatives by collaborating closely with business stakeholders and technical teams to identify, analyze, and translate business needs into comprehensive technical requirements. Serving as a critical link between business objectives and technical execution, the position ensures that solutions are efficient, scalable, and aligned with PJM’s organizational goals.
The ideal candidate will effectively engage with multiple departments, gather both functional and technical requirements, assist in issue triaging, and excel in producing high-quality documentation, including requirements specifications, data model requirements, data flow diagrams, and other project-related materials as needed.
Key Responsibilities:
- Strong experience in translating business requirements into clear technical and functional requirements.
- Apply data analysis techniques to support and drive success in data management initiatives and projects.
- Engage with stakeholders to understand, document, and prioritize business needs.
- Schedule, organize, and facilitate meetings with clients, technology SMEs, business SMEs, data owners, and other internal stakeholders.
- Strong experience to dive deep into data to uncover insights, identify trends, and resolve issues.
- Develop and maintain high-quality documentation, including requirements documents, data flow diagrams, and other project artifacts.
- Create user stories, technical documentation, process flows, and data model requirements.
- Assist QA teams in developing comprehensive test cases to ensure delivered solutions align with business requirements.
- Support the data management team in developing work plans, milestones, schedules and deliverables.
- Prioritize tasks to achieve maximum results while successfully meeting tight deadlines and deliverables.
- Gain and maintain in-depth knowledge of the industry and key business processes.
- Demonstrate a strong understanding of the importance and impact of data quality on achieving business objectives.
- Collaborate with information data governance team to understand and apply policy directives.
- Build strong relationships with clients and data stakeholders by providing excellent customer support.
- Take ownership of issues and resolve them proactively, ensuring requirements and deadlines are met.
Skills and Experience
- At least 8+ years of technical business analysis experience in projects focused in data management, data integration and/or data quality.
- Strong analytical skills and a willingness to dive deep into data to uncover insights, identify trends, and resolve issues.
- Proficiency with SQL, Oracle databases
- B.S. degree in computer science, management information systems, or equivalent experience.
- Proactively asks insightful questions to ensure a comprehensive understanding of the problem at hand.
- Self-motivated and the ability to work independently, with minimum supervision
- Ability to produce high-quality work products with attention to detail
- Previous experience in a technical business analysis role ideally within software development or data-driven projects.
- Strong ability to convey complex technical details to non-technical stakeholders and collaborate with cross-functional teams.
- Experience analyzing and reporting on complex databases
- Good understanding with relational database modeling concepts
- High attention to detail, ensuring accuracy and quality in all data management activities.
- Skilled at translating business requirements into actionable data and analytical solutions.
Preferred Skills and Experience
- Working knowledge of Python, Tableau or similar data analysis tools
- Experience in data analysis
- Experience in Confluence, Jira
- Experience in project management
- Experience in a Master Data Management project
- Familiarity with Agile methodology
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