Tableau Developer, People Analytics (Contract)

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders across vehicle development, software engineering, manufacturing, fleet operations, and business functions to deliver the major corporate milestones on the path to launch, and beyond. The quality of those decisions depends on how fast the right evidence reaches the right people — and that is what this role builds. As a Tooling contractor in PMO, you will build the internal web tools and dashboards that decisions get made on. Zoox generates an enormous amount of data — fleet and simulation logs, program and issue tracking, operational telemetry, map and route data — but very little of it arrives in a form a leader can act on. You will close that gap: pull from existing sources, model the data properly, and ship tools that answer real business questions, including geospatial tooling that scores and compares candidate service areas to inform where we deploy next. The feedback loop is short. Your users sit in the same building, your tools will show up in program and executive reviews within weeks of shipping, and you will own a piece of the stack end to end rather than work a ticket queue. In this Role, You Will... Build and ship internal web tools and dashboards on top of existing Zoox data sources, owning them from prototype through the version leaders rely on. Start from the decision, not the dataset — work with TPMs and engineering partners to turn a vague business question into a scoped tool, then iterate quickly on their feedback. Design the data layer behind those tools — queries, transformations, and pipelines that keep them current without manual intervention. Extend our geospatial tooling with new attributes, data sources, and visualizations that sharpen where and how we expand service. Handle real-world data honestly —

The People Analytics Team at Datadog uses data to help our growing organization make better people decisions. We're expanding our workforce planning capabilities to support how we grow and structure our teams. In this role, you'll help build and maintain the data foundation behind our headcount and capacity models, partnering with FP&A, Recruiting, and PBPs to keep workforce planning grounded in clean, trustworthy data. At Datadog, we place value in our office culture – the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Automate and expand Datadog’s headcount-driven capacity modeling, improving the underlying data pipelines and insights that they surface Build and maintain data models covering headcount, positions, and hiring pacing, keeping them accurate as business context changes Own the position data audit process, establishing and maintaining a source of truth for open, filled, and planned positions across the business Support workforce forecasts by analyzing attrition, mobility, hiring, and promotion trends in partnership with the broader People Analytics Insights team Partner with our People Tech teams (HRIS, Recruiting Ops, developers) to shape the headcount management tech roadmap, driving for infrastructure and tooling that reduces friction and unlocks better data Serve as a point of contact for stakeholder questions on workforce planning data, handling day-to-day communications and support requests Contribute to the overall maturity of workforce planning at Datadog by improving how data is sourced, modeled, and shared Run external benchmarking analyses to inform headcount planning by researching labor market data, translating it into internal-ready insights, and publishing findings for stakeholders Who You Are: 5+ years of experience in workforce planning, people analytics, FP&A, or

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms. Key Responsibilities: Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources. Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units. Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards. Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools. Data Security and Compliance Ensure data governance and security pro

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms. Key Responsibilities: Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources. Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units. Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards. Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools. Data Security and Compliance

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is where the world's gamers hang out, and increasingly, it's the platform game developers build on. We're seeking a Senior Data Science Manager to lead Data Science for our Developer Platform: the SDKs, identity systems, and developer tools that connect games and their players to Discord. What makes this role distinctive is the two-sided value equation at the heart of the platform. For game developers, we build tools that help studios grow player engagement and revenue, including data products that give them deeper insight into their players and communities. For players, we use signals from those same tools to make it easier to play and hang out with friends, deepen engagement across Discord, and deliver more relevant ads. Your team's job is to make both sides of that exchange demonstrably valuable. That means proving the platform's worth to developers with rigorous evidence, and ensuring the signals it generates create outsized, responsible value for Discord users. If helping make Discord an even better place to hang out with your friends and communities sounds like an exciting challenge - we'd love to chat with you! What you'll be doing Manage, mentor, and develop a mission-driven team of Data Scientists embedded across the Developer Platform's core areas: identity, signals, and developer tools. Own the vision and roadmap for data-driven decision-making across the Developer Platform org, and shape company strategy on how the platform creates value for both developers and Discord. Strengthen the developer side of the value equation by shaping developer-facing data products, including metr

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. You will have three mandates: Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access p