Senior Data Analyst

About Placer.ai

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

Summary

The Custom Feeds team turns Placer's data into production-grade bespoke data products for our largest customers — tailored to specific business questions and shipped on a recurring basis. We're looking for a Senior Data Analyst who is both a pipeline builder and a data researcher. You'll own custom recurring feeds end to end — from methodology for new metrics, through pipeline design, to final acceptance before delivery. You'll lead conversations with internal stakeholders (US-based customer-facing teams and colleagues across R&D) and help generalize recurring logic into reusable models, metrics and packages the whole team builds on. Ideal for a rigorous, independent thinker looking for a delivery-oriented role where impact is tangible.

Responsibilities

• Own custom feeds from requirements through delivery and ongoing maintenance
• Develop methodologies and acceptance criteria for new metrics
• Build reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and Terraform
• Partner with Solution Engineers and customer-facing teams on timelines, methodology and customer feedback
• Build reusable components and packages; collaborate with R&D and Data Science to reuse existing datasets, models and products — and make your work reusable by others
  
  

• 5+ years in data analytics / data research with large-scale datasets
• 3+ years hands-on Python and PySpark at scale
• Solid applied statistics — sampling and estimation, bias and coverage, significance, uncertainty — and the ability to explain limitations to non-technical audiences
• Demonstrated ownership of data quality: metrics and validations for datasets others depend on
• Proficiency with AI-assisted coding (Claude Code, Cursor, Copilot), with judgment about when to trust, verify or discard output
• Excellent written and spoken English; comfortable presenting to customers
• Ability to own deliverables independently across multiple teams under tight deadlines
• B.Sc. in a quantitative field; M.Sc. / MBA or academic research experience — advantage
• Technical Skills: PySpark (must, with performance awareness), Databricks or equivalent Spark platform, Airflow in production, Terraform / IaC, Git-based collaborative development
  
  

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
  

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos