Analytics Engineer

About this role

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team 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. About the Role

This is a backend-focused analytics engineering role that builds and owns the data foundation for Global Partner Operations. You will design the data models, pipelines, and governance standards that make partner data trustworthy, connected, and reusable across the organization — supporting analytics and reporting for our three partner tracks: Partner Innovation , Partner Sales , and Partner Services . Each track asks different questions of the same ecosystem. Partner Innovation needs visibility into co-innovation activity, solution development, and marketplace and certification outcomes. Partner Sales needs a clear, defensible view of partner-sourced and partner-influenced pipeline, co-sell and resell motions, and route-to-market coverage. Partner Services needs to understand delivery capacity, certified skills, deployment health, and services partner performance. Your job is to build a unified partner data model that serves all three without forcing each team into its own silo of one-off extracts. This is a builder role. Expect to spend the majority of your time in SQL, in the warehouse, and in the semantic layer — designing durable models rather than assembling slides. You will be the technical owner of how partner data is structured, governed, and consumed. What You'll Do • 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.

About You

You are an experienced analyst or analytics engineer who is genuinely happiest in the data layer. You care about whether a model will still make sense in two years, you write SQL other people can read, and you have strong opinions about grain, slowly changing dimensions, and what belongs in a certified metric definition. You are comfortable serving several stakeholder groups with different definitions of the same word, and you know how to resolve that in the model rather than in a footnote. Basic Qualifications • 5+ years of experience in sales analytics, partner or channel analytics, revenue operations, analytics engineerin

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