[Hiring] Senior Data Analyst @Placer.ai

Role Description

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.

• 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

Qualifications

• 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

Requirements

• Technical Skills:
• PySpark (must, with performance awareness)
• Databricks or equivalent Spark platform
• Airflow in production
• Terraform / IaC
• Git-based collaborative development

Benefits

• 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