Analytics Engineer

The Global Partner Operations organization is passionate about developing partnerships that accelerate innovation and growth with Industry differentiation, expanded reach and customer success This is an outstanding opportunity to be part of the team that is driving a rapid and global change of paradigm, to embrace a modern ecosystem and implement a unified and global partner strategy with local flavor, with cross-functional engagement in programs, systems, processes and people The team’s mission is to deliver winning partner engagements focused on time, scale and route to market, aligned to our operational goals and core values Build and own the data foundation for Global Partner Operations — designing the data models, pipelines, and governance standards that make partner data trustworthy and reusable across Partner Innovation, Partner Sales, and Partner Services You’ll create a unified partner data model that supports each track’s distinct needs (co-innovation and marketplace outcomes; partner-sourced pipeline and co-sell/resell motions; delivery capacity and services performance) without fragmenting into one-off extracts This is a hands-on builder role: expect to spend most of your time in SQL, the warehouse, and the semantic layer, serving as the technical owner of how partner data is structured, governed, and consumed Design, build, and maintain dimensional data models in Snowflake that unify partner data across the Partner Innovation, Partner Sales, and Partner Services tracks, including a shared partner master, hierarchy, tiering, and program taxonomy Develop and optimize ELT pipelines integrating data from CRM, PRM, partner portal, marketplace, certification and enablement platforms, services delivery systems, and internal Workday systems Own the certified semantic layer and Sigma models that Partner Operations managers, track leaders, and cross-functional stakeholders build from — including metric definitions, row-level security, and workbook governance Translate partner program logic and track-specific business rules into version-controlled, testable transformation code, with documentation clear enough that any number can be traced back to its source Establish and enforce data governance across the partner data domain: naming standards, data dictionaries, lineage, ownership, access controls, and data quality monitoring with defined thresholds and alerting Build the reporting foundation for partner attribution — sourced, influenced, and co-sell motions — so that pipeline and bookings analysis is consistent across regions and tracks Model partner capacity and capability data — certifications, skills, practice size, delivery footprint — to support Partner Services planning and Partner Innovation solution coverage Partner with Partner Operations, Sales Operations, Finance, Enablement, and Partner Program teams to turn ambiguous requirements into durable data architecture instead of recurring manual pulls Build reconciliation and validation tooling that supports operating reviews, QBRs, and internal audit or data certification requests Improve warehouse performance and cost efficiency through query tuning, clustering strategy, incremental model design, and thoughtful workload management Assess the data and system implications of proposed partner program or track changes before launch, and plan the model changes required to support them Serve as a technical mentor for less experienced analysts on SQL craft, modeling patterns, and code review standards #J-18808-Ljbffr Workday