HRIS Analyst, Workday

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Compensation People Analytics Analyst and AI Builder to join our team in Denver. This role is ideal for an early-career professional (0–2 years of experience) who enjoys working with data and leveraging modern AI tools to build practical, data-driven solutions. This role sits at the intersection of data analysis, organizational research, and emerging AI technologies. You will work with compensation and workforce data, build analytical tools quickly, and support internal processes that help administer large-scale payroll and equity programs. You’ll also experiment with AI-enabled tools (such as copilots, coding assistants, and data platforms) to create lightweight systems, automate analysis, and improve workflows. This is an opportunity to help shape a data-informed approach to compensation and people analytics within a growing organization using the latest technology. This is a full-time, hybrid position based out of our Denver office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use SQL Excel (advanced functions and modeling) BigQuery (preferred) Sigma or similar analytics platforms (preferred) Python for data analysis (preferred) ETL / data pipeline tools (e.g., Fivetran) AI tools (e.g., ChatGPT, Codex or other assistants, Claude, low-code AI platforms) Data visualization and dashboarding tools What You’ll Do Analyze compensation and workforce data using SQL and Excel Support development and maintenance of compensation benchmarking and analytics Assist with workforce data analysis related to hiring, performance, and organizational structure Build and maintain analytical models, datasets, and dashboards Organize, clean, and structure datasets related to compensation and organizational roles Improve processes and workflows related to people analytics and reporting Experiment with AI tools and automation to enhance analytical work Build small internal tools or systems to support data-driven decision-making Document analytical methodologies and ensure data accuracy and transparency Skills We’re Looking For Early career (up to ~2 years of experience) Strong analytical and problem-solving skills with a focus on working with data Basic proficiency in SQL and experience working with structured datasets Ability and willingness to learn new data tools, platforms, and analytical techniques Interest in organizations, labor markets, or people analytics Strong organizational skills and attention to detail Experience or interest in building tools, workflows, or projects using AI technologies Effective communication skills and ability to explain analytical insights clearly Bonus Skills​ Background in social science (sociology, economics, organization science) Familiarity with compensation or other HR domain knowledge #LI-SR1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compen ... (truncated, view full listing at source)