Senior Business Analyst

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. Key Requirements 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. Skills: data quality,business analyst,agile,data engineering,cloud,data #J-18808-Ljbffr