Systems Analyst - Master Data Management

Position Summary

This role is ideal for someone who is early career but high trajectory: a strong analyst with solid SQL, curiosity, and the ability to use AI as a multiplier. The right candidate will meaningfully expand the team's capacity and help us shape the next generation of government data solutions.

Description

Client is seeking a Systems Analyst with strong analytical skills, above average SQL proficiency, and emerging fluency in AI/LLM based tools. This role blends classic systems analysis with modern AI assisted solution delivery. The ideal candidate is curious, adaptable, and motivated to work in a mission driven public sector environment where rapid, high quality turnaround is essential. This is a consulting role focused on delivery, clarity, and hands on problem solving. It is not a senior developer role.

Responsibilities

• Partner with business stakeholders and technical teams to elicit, clarify, and structure requirements, using both traditional methods and AI assisted techniques.

• Translate business needs into clear functional specifications, data mappings, and workflow logic for MDM and related systems.

• Use SQL/PLSQL to profile data, validate assumptions, investigate anomalies, and support data quality initiatives.

• Apply AI/LLM tools to:

• accelerate requirements analysis

• generate draft documentation, test cases, and data rules

• summarize complex policy or technical content

• support rapid prototyping and solution exploration

• Collaborate with MDM developers, architects, and data stewards to ensure solutions align with enterprise standards.

• Participate in system testing, data validation, and defect triage, including AI assisted test generation where appropriate.

• Produce clear, concise documentation suitable for technical and non technical audiences.

• Support continuous improvement of MDM processes, data governance practices, and AI enabled workflows.

• Communicate risks, blockers, and dependencies with clarity and professionalism.

• Required Skills

• Strong SQL or PL/SQL skills (data profiling, joins, aggregations, troubleshooting).

• Ability to understand and model business processes, data flows, and system interactions.

• Demonstrated ability to use AI/LLM tools (e.g., for analysis, summarization, prototyping, documentation).

• Solid analytical and problem solving abilities.

• Strong communication skills - able to translate between business and technical perspectives.

• Ability to work independently in a fast moving environment and collaborate across teams.

• Comfort with iterative, rapid turnaround solution cycles.

• Preferred Skills

• Experience with Python for data manipulation, orchestration or automation.

• Familiarity with Master Data Management concepts (survivorship, matching, data quality, golden records).

• Exposure to government programs, eligibility systems, or public sector data environments.

• Experience with Oracle databases or enterprise data platforms.

• Understanding of ETL/ELT concepts and data integration patterns.

• Experience using AI tools to accelerate analysis, documentation, or testing.

Qualifications

• Bachelor's degree in computer science, Information Systems, Engineering, or related field (or equivalent experience).

• 1–3 years of experience in systems analysis, data analysis, or related technical roles.

• Demonstrated ability to learn new tools and technologies quickly.