Senior Workforce Intelligence Analyst

Summary

Building on our team's single, secure, enterprise-grade data platform, this role owns the last mile - building out an AI-powered self-service analytics suite so the People team can make data-driven decisions in the flow of their workYou will drive this adoption through a hybrid strategy. Enabling the People team on how to use our governed self-service suite with pre-packaged HR dashboards & insights built in Visier, as well as building their own content and analyses using Claude, connected to the same modeled data powering VisierAs a Senior IC, you will own Visier outright, set the self-serve analytics roadmap, and have real latitude in how it's built out. You will partner directly with Talent Acquisition, Employee Success Partners, Total Rewards, People Operations, and senior members of the People Science team to understand their goals and build the metrics, context, and AI-ready documentation that lets them find their own answers without waiting on an analystServe as the technical and functional owner of Visier: configuration, metric definitions, security models, release management, and the primary POC for our vendor relationshipBuild and extend Visier content (metrics, boards, alerts) and expand into new data subjects as we onboard new systemsManage the integration between our data platform and Visier, partnering with Data Engineering on upstream modelsOwn data quality: define the checks, triage failures, and drive fixes back to the source system rather than patching them downstreamEnsure consistency so an AI-assisted answer and a Visier dashboard always align. Evaluate AI outputs critically and know what missing context caused a wrong answerDocument data models, business logic, and known caveats. Treat context as a core deliverable to make the platform usable for both non-analysts and AI toolsExperience designing access and aggregation rules for sensitive people data, including comp and performanceAct as an embedded partner to TA, Total Rewards, People Ops, and Business Partners. Conduct discovery, synthesize findings, and communicate insights up to the executive levelMove the function from ad hoc pulls to a durable reporting cadence built around meaningful organizational health and talent delivery insightsBuild and run enablement (training, office hours, documentation) to raise the data literacy of the HR function. Teach them how to explore data, interrogate AI generated insights, verify against sources of truth, and know when to escapeHelp build and deliver the self-service analytics roadmap. Translate business questions into deliverables, and know when to push back if the real answer is a process or systems or process fix rather than a dashboardBring a point of view. Connect the dots between business objectives and dataBenefits Health & wellbeing: Comprehensive health benefits designed to support your overall wellnessTime away: Paid time off for vacations, family bonding, and unexpected needs401(k) match: Build your financial future with our 401(k) matching programMental wellness: Resources and support for your emotional wellbeing and navigating life's challengesHands-on Visier experience: You must have gone through at least one implementation or meaningful capability expansion (deploying Visir or standing up new data subjects in an existing tenant)Ability to work independently, prioritize concurrent workstreams, and handle sensitive data with total discretionDemonstrated experience enabling others, whether through training, documentation, or converting a reporting backlog into self-serviceFluency in the HR domain: you deeply understand recruiting, compensation, performance, and org structure, and know how underlying systems actually record this dataA pragmatic approach to data governance. You know how to balance standardized dashboards for large audiences and enable exploration for your clients4+ years in people analytics, HR technology, or a closely related roleStrong SQL skills and comfort working directly in a cloud data warehouseExperience in high-growth or infrastructure environments where change is constant and part of the funExperience using other BI platforms (Power BI, Tableau, Sigma) alongside VisierExperience with our specific stack: Rippling, Workday, Ashby, Lattice, TeamOhana, BigQueryUnderstanding of how to expose warehouse data to LLMs or agentic interfaces (semantic layers, MCP)Analytics Engineering capability: Experience with dbt, version control, CI/CD, and dimensional modeling. If you can own the transformation layer and not just the presentation layer#J-18808-Ljbffr

Job Description

Building on our team's single, secure, enterprise-grade data platform, this role owns the last mile - building out an AI-powered self-service analytics suite so the People team can make data-driven decisions in the flow of their workYou will drive this adoption through a hybrid strategy. Enabling the People team on how to use our governed self-service suite with pre-packaged HR dashboards & insights built in Visier, as well as building their own content and analyses using Claude, connected to the same modeled data powering VisierAs a Senior IC, you will own Visier outright, set the self-serve analytics roadmap, and have real latitude in how it's built out. You will partner directly with Talent Acquisition, Employee Success Partners, Total Rewards, People Operations, and senior members of the People Science team to understand their goals and build the metrics, context, and AI-ready documentation that lets them find their own answers without waiting on an analystServe as the technical and functional owner of Visier: configuration, metric definitions, security models, release management, and the primary POC for our vendor relationshipBuild and extend Visier content (metrics, boards, alerts) and expand into new data subjects as we onboard new systemsManage the integration between our data platform and Visier, partnering with Data Engineering on upstream modelsOwn data quality: define the checks, triage failures, and drive fixes back to the source system rather than patching them downstreamEnsure consistency so an AI-assisted answer and a Visier dashboard always align. Evaluate AI outputs critically and know what missing context caused a wrong answerDocument data models, business logic, and known caveats. Treat context as a core deliverable to make the platform usable for both non-analysts and AI toolsExperience designing access and aggregation rules for sensitive people data, including comp and performanceAct as an embedded partner to TA, Total Rewards, People Ops, and Business Partners. Conduct discovery, synthesize findings, and communicate insights up to the executive levelMove the function from ad hoc pulls to a durable reporting cadence built around meaningful organizational health and talent delivery insightsBuild and run enablement (training, office hours, documentation) to raise the data literacy of the HR function. Teach them how to explore data, interrogate AI generated insights, verify against sources of truth, and know when to escapeHelp build and deliver the self-service analytics roadmap. Translate business questions into deliverables, and know when to push back if the real answer is a process or systems or process fix rather than a dashboardBring a point of view. Connect the dots between business objectives and dataBenefits Health & wellbeing: Comprehensive health benefits designed to support your overall wellnessTime away: Paid time off for vacations, family bonding, and unexpected needs401(k) match: Build your financial future with our 401(k) matching programMental wellness: Resources and support for your emotional wellbeing and navigating life's challengesHands-on Visier experience: You must have gone through at least one implementation or meaningful capability expansion (deploying Visir or standing up new data subjects in an existing tenant)Ability to work independently, prioritize concurrent workstreams, and handle sensitive data with total discretionDemonstrated experience enabling others, whether through training, documentation, or converting a reporting backlog into self-serviceFluency in the HR domain: you deeply understand recruiting, compensation, performance, and org structure, and know how underlying systems actually record this dataA pragmatic approach to data governance. You know how to balance standardized dashboards for large audiences and enable exploration for your clients4+ years in people analytics, HR technology, or a closely related roleStrong SQL skills and comfort working directly in a cloud data warehouseExperience in high-growth or infrastructure environments where change is constant and part of the funExperience using other BI platforms (Power BI, Tableau, Sigma) alongside VisierExperience with our specific stack: Rippling, Workday, Ashby, Lattice, TeamOhana, BigQueryUnderstanding of how to expose warehouse data to LLMs or agentic interfaces (semantic layers, MCP)Analytics Engineering capability: Experience with dbt, version control, CI/CD, and dimensional modeling. If you can own the transformation layer and not just the presentation layer#J-18808-Ljbffr