Staffing Spot, Inc.
Linkedin · Posted 2d ago
Senior Business Analyst
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Indexed description
Key Responsibilities
- Work with business stakeholders, product owners, and engineering teams to gather, analyze, and document business, data, and technical requirements.
- Translate requirements into user stories, acceptance criteria, process flows, data mappings, and functional specifications for Data Engineering and Data Quality solutions.
- Collaborate with Data Engineering teams to define data quality rules, data models, pipeline requirements, governance standards, and observability metrics.
- Analyze data quality, operational, and business metrics, perform root-cause analysis, and drive continuous improvement initiatives.
- Identify opportunities to leverage Agentic AI, automation, and AI-assisted workflows to improve data quality, operational efficiency, and decision-making processes.
- Mentor and provide guidance to less experienced team members.
- 7+ years of experience as a Business Analyst, Technical Business Analyst, or similar role in Data Engineering, Analytics.
- Strong SQL skills with the ability to analyze large datasets, validate data quality rules, and perform root-cause investigations.
- Experience working in Agile/Scrum environments, including backlog management, story refinement, sprint planning, co-ordination with PM and acceptance criteria.
- Experience working with Data Engineers, Solution Architects, Product Owners, and Platform Engineering teams in large-scale cloud data environments.
- Working knowledge of Power BI, including designing, developing, and administering dashboards that provide insights from data quality monitoring and operational metrics.
- Experience with cloud-native data platforms, preferably GCP, including BigQuery, Dataflow, Dataproc, Composer/Airflow, Cloud Storage, and Pub/Sub.
- Understanding of AI/LLM concepts, prompt engineering, retrieval-augmented systems, MCP/A2A protocols, or agent-based orchestration frameworks is highly desirable.
- Strong verbal and written communication skills, with the ability to articulate complex data issues and solution recommendations to both technical and business audiences.
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