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Mid-level generalist data role, common title, and metro location increase candidate density.
Core SQL and analytics skills are broadly transferable across industries.
Requires explicit 2+ years, SQL and data warehouse experience, causing moderate filtering.
Elicit, plan, and manage comprehensive business and data analytics requirements with stakeholders using SQL and data profiling.
Maintain data mapping documents and apply advanced data strategies including generative AI insights, vector/graph databases, and agentic AI concepts to enhance reporting and decision-making.
Collaborate with cross-functional Agile teams and align work with organizational strategy to deliver scalable, innovative business solutions.
Bachelor's degree in Computer Science, AI/Data Science, Information Technology, or similar.
2+ years experience in business/data analysis with data warehouse or reporting/analytics projects.
Proficiency in SQL and experience with data profiling and analysis to support business requirements.
Work Experience Required: Minimum 2 years in relevant data/business analysis roles.
Experienced in leveraging generative AI concepts (RAG, prompt engineering) for data-driven business analysis and advanced analytics.
Comfortable operating in Agile environments, managing multiple priorities and collaborating with diverse teams.
Skilled in developing AI-driven analytical workflows and integrating emerging technologies like vector/graph databases and agentic AI into business processes.