Analytics Engineer

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve 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 teams 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

In this role you will. 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.

Youll create a unified partner data model that supports each tracks 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.

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.

• 5 years of experience in sales analytics partner or channel analytics revenue operations analytics engineering or data engineering.

• 5 years of hands-on advanced SQL experience window functions CTEs complex joins incremental logic and query performance tuning.

• 5 years of experience building and maintaining data models in a cloud data warehouse with direct Snowflake experience.

• 5 years demonstrated experience with dimensional data modeling and data warehouse design (star/snowflake schemas fact and dimension design grain definition slowly changing dimensions).

• 5 years experience developing dashboards semantic models or governed datasets in a modern BI platform; Sigma experience strongly preferred.

• 5 years demonstrated experience implementing data governance practices data quality controls documentation lineage access management or metric certification.

• Experience with dbt or a comparable transformation framework including modular model design testing and documentation.

• Proficiency in Python for data engineering tasks: pipeline development API integrations automation and data validation.

• Experience with Salesforce or another CRM data model and with PRM or partner portal data structures.

• Understanding of partner ecosystem concepts: partner tiering and program compliance sourced and influenced attribution co-sell and resell motions marketplace and solution certification services delivery and capacity planning.

• Familiarity with sales and services metrics such as bookings ACV/ARR pipeline coverage utilization and deployment health.

• Exposure to data observability or data quality tooling (Monte Carlo Great Expectations dbt tests or similar).

• Experience supporting a global organization across multiple regions currencies and fiscal calendars.

• Familiarity with data controls and reporting standards in a public company environment.

• Excellent written communication you can explain a modeling decision to an engineer and a data discrepancy to an operations leader in the same afternoon.

• Bachelors degree in a quantitative technical or business field or equivalent practical experience.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including but not limited to geography experience skills job duties and business need among other things. For more information regarding Workdays comprehensive benefits please click here.

Primary Location:

Primary Location Base Pay Range: $98900 USD - $148300 USD

Additional US Location(s) Base Pay Range: $93900 USD - $166900 USD

Our Approach to Flexible Work

With Flex Work were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections maintain a strong community and do their best work. We know that flexibility can take shape in many ways so rather than a number of required days in-office each week we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers prospects and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business team and personal needs while being intentional to make the most of time spent together. Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process in order to perform one or more essential functions of their job as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran due to a disability or for religious reasons or as otherwise provided under applicable law.

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