Technical Business Analyst

Role: Business analyst with Databricks and AI/ML Locations: Pleasanton CA - 5 Days onsite/Week Mode of Hire: Contract Databricks and AI/ML Job Description: High-level use case/intake summary • Required to engage external team leadership prior to project start. Key details include • Business case/justification • Implementation proposal including high-level details ensuring compliance data governance and security standards Architecture Review Board intake slides • High-level use case details • Data classification (e.g. Confidential, Internal, etc.) • Logical system/service interaction diagram Leadership readout/project summary • Key recently completed project details • Main accomplishments • Improvements/pending opportunities • Performance testing results • High-level upcoming/in-progress project details Clarifying use case requirements • Additional details confirmed as part of business discussions • How data would be used • Specific data points/documents required to support use case • Where to source data points/documents • Example Q&A pairs for chatbot result validation Data profiling • Key skills include • Python (pandas, etc.) • SQL • Ability to translate business requirements to technical work; putting together BRDs and augmenting existing ones to drive further clarity and alignment • Strong verbal and written communications skills • Translate technical work from PoCs / technical spikes into findings reports and slides tailored for leadership consumption (e.g. doing a readout to Winston) • Collaborate with engineering and TPMs to keep the projects organized; bonus if they can be a ‘backup PM’ with a strong delivery experience • Able to adapt quickly to changes and contribute on multiple workstreams in parallel • UDL for example has many tracks ranging from PoCs like the Iceberg pilot to unstructured data ingestion • Data and AI domain knowledge; great to have some past experience working on a tech stack that overlaps with what’s used at Client (Snowflake, Databricks, AWS, etc.) • Bonus if at least conceptually familiar with data engineering, data science, and AI/ML Focused Area- • High-level use case/intake summary • Required to engage external team leadership prior to project start. Key details include • Business case/justification • Implementation proposal including high-level details ensuring compliance to data governance and security standards • Leadership readout/project summary • Key details include • Key recently completed project details • Main accomplishments • Improvements/pending opportunities • Performance testing results • High-level upcoming/in-progress project details • Clarifying use case requirements • Additional details confirmed as part of business discussions • How data would be used • Specific data points/documents required to support use case • Where to source data points/documents • Example Q&A pairs for chatbot result validation