Full Job Description
Required Qualifications
5 or more years as a Business Systems Analyst or Data Analyst on data warehouse, data lake, or
lakehouse programs.
A track record of writing detailed source-to-target mappings and join logic across multiple source
systems.
Strong SQL, including joins, window functions, and profiling and reconciliation queries.
Hands-on experience with Databricks, including notebooks, Delta Lake, and Spark SQL. You
should be able to read and review transformation code.
Experience mapping data from semi-structured or user-maintained sources, such as
spreadsheets, and handling schema drift and incomplete records.
Strong grasp of data modeling concepts, including keys, entity resolution, and curated-layer
design.
Strong written communication, and the ability to produce clear documentation with little rework.
Proven ability to work independently on short timelines with minimal onboarding.
Preferred Qualifications
Familiarity with procurement or sourcing data, such as contracts, suppliers, renewals, ACV and
TCV, and notice periods. Workday Strategic Sourcing experience is a strong plus.
Experience with Unity Catalog, data lineage tools, or data governance practices.
Exposure to LLM-based or semantic matching use cases, including how to evaluate match
quality.
Experience with IT asset management, software asset management, or application portfolio
management data.
Familiarity with endpoint or usage telemetry, such as Nexthink, and with privacy-aware handling
of usage data.
Experience with the Google Sheets and Drive APIs as data sources.
Working knowledge of Python or PySpark.
Familiarity with role-based or row-level access patterns in dashboards.
Experience with Agile delivery, Jira, and Confluence.
Databricks certification
