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
