Analytics Engineer
Austin
* 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
