People Operations Analyst

Asana Asana · Enterprise · Vancouver, BC · People Operations

This role is for a People Operations Analyst at Asana, focusing on People Analytics. The primary responsibilities involve using data to solve complex problems within the People Team, partnering with leaders on high-impact projects, and translating data into actionable insights and recommendations. The role also involves building dashboards, tools, or models to support decision-making and improving data quality. While the company mentions AI collaboration and the role has a curiosity about AI tools, the core function is people analytics, not AI/ML model development.

What you'd actually do

  1. Partner closely with People leaders across Talent, Performance, Rewards, People Partners, and Employee Relations on high-impact projects
  2. Use analytics to diagnose problems, identify patterns and risks, and evaluate options related to performance, engagement, retention, manager effectiveness, and workforce planning
  3. Contribute analytics throughout the lifecycle of People projects—from early exploration through execution and follow-up
  4. Translate data into clear insights and recommendations leaders can act on
  5. Build dashboards, tools, or models when they directly support decision-making

Skills

Required

  • SQL
  • spreadsheets
  • BI tools (e.g., Tableau)
  • survey data analysis
  • analytical skills
  • problem-solving skills
  • communication skills
  • project management

Nice to have

  • AI tools
  • emerging technologies

What the JD emphasized

  • 7+ years of experience as an analytics individual contributor, ideally in People, HR, or organizational analytics
  • Strong analytical and problem-solving skills, with comfort working through ambiguity and imperfect data
  • Ability to connect quantitative data to real organizational challenges and decisions
  • Experience using SQL, spreadsheets, BI tools (e.g., Tableau), and survey data
  • Clear communicator who can explain insights and recommendations to non-technical audiences
  • Strong project orientation and ability to manage multiple initiatives at once
  • Bias toward action and outcomes over analysis for its own sake
  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making