Senior Data Analyst

we are looking for a Senior Data Analyst.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 maintenanceDevelop methodologies and acceptance criteria for new metricsBuild reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and TerraformPartner with Solution Engineers and customer-facing teams on timelines, methodology and customer feedbackBuild reusable components and packages; collaborate with R&D and Data Science to reuse existing datasets, models and products - and make your work reusable by othersRequirements: 5 years in data analytics / data research with large-scale datasets3 years hands-on Python and PySpark at scaleSolid applied statistics - sampling and estimation, bias and coverage, significance, uncertainty - and the ability to explain limitations to non-technical audiencesDemonstrated ownership of data quality: metrics and validations for datasets others depend onProficiency with AI-assisted coding (Claude Code, Cursor, Copilot), with judgment about when to trust, verify or discard outputExcellent written and spoken English; comfortable presenting to customersAbility to own deliverables independently across multiple teams under tight deadlinesB.Sc. in a quantitative field; M.Sc. / MBA or academic research experience - advantageTechnical Skills: PySpark (must, with performance awareness), Databricks or equivalent Spark platform, Airflow in production, Terraform / IaC, Git-based collaborative developmentThis position is open to all candidates.