Senior Data Analyst - Placerlabs

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

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