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Common data analyst title, mid-level experience, metro corporate role, and broad skills increase applicant competition.
Core data analysis and SQL skills are highly transferable across industries.
Explicit 2+ years, mandatory SQL and data warehouse experience, but no niche certifications required.
Elicit, document, and manage complete and clear business data requirements using SQL and data profiling tools.
Leverage generative AI concepts (e.g., prompt engineering, RAG) and advanced data strategies (vector/graph databases, unstructured data) to enhance analytics and reporting.
Collaborate with Product Owners and stakeholders in an Agile environment to deliver scalable data-driven solutions aligned with organizational priorities.
Bachelor's degree in Computer Science, AI/Data Science, Information Technology, or similar.
Minimum 2 years experience in business or data analysis related to data warehouses or reporting/analytic projects.
Proficiency in SQL and experience with data profiling and querying tools.
Experience working in Agile teams; knowledge of generative AI concepts like RAG and prompt engineering required.
Intermediate-level analyst with 2+ years handling complex data sets to identify trends and support business decisions.
Experienced in applying emerging AI-driven techniques and advanced database solutions for innovative analytics workflows.
Comfortable operating in lean, fast-paced Agile environments collaborating cross-functionally and aligning work with strategic priorities.