Duration: 2 months to start
Description:
The client MDM 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.
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.
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, and 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.
#LI-Hybrid
