DataOps, Lead Data Analyst

What you'll do

• Translate business objectives and operational processes into clear functional requirements, business rules, and acceptance criteria.
• Perform data discovery and profiling to evaluate data quality, metadata, and fitness for purpose.
• Define business semantics, transformation logic, source-to-target mappings, and data relationships.
• Develop analytical datasets, reusable data assets, and Gold layer data solutions.
• Execute functional testing and business acceptance validation for engineered datasets and integrated solutions.
• Identify opportunities for workflow improvement through data, automation, and AI-enabled solutions.
• Create documentation, training materials, and knowledge-transfer assets to enable customer adoption.
• Develop reusable templates and analytical patterns to automate requirements discovery and documentation.

What we're looking for

• 5+ years of experience in data analysis, business analysis, data products, analytics consulting, or enterprise solution delivery.
• Demonstrated experience translating business needs and operational processes into functional requirements, business rules, and data specifications.
• Strong experience with data discovery, profiling, data quality assessment, testing, business validation, and solution adoption.
• Proficiency with SQL, data analysis techniques, and enterprise analytical tools.
• Experience working with cross-functional business, product, technology, and data teams.
• Experience supporting business process automation, workflow solutions, or AI-enabled capabilities.
• Understanding of enterprise data platforms, integration patterns, analytics, AI, metadata, and automation technologies.
• Experience in complex, regulated enterprises (preferred); experience with Databricks or cloud data platforms (preferred).