This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Background in social science (sociology, economics, organization science)
Familiarity with compensation or other HR domain knowledge
What we offer:
100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents