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Staff Product Analytics Engineer

🕒 yesterday
Data EngineeringAnalytics EngineeringDatabricksCloud Computing

📜 Description

  • Engage with stakeholders from product, engineering, and GTM teams to understand analytic needs and data engineering requirements.
  • Design, build, and maintain resilient data infrastructure that gathers data from various sources.
  • Ensure continuous and reliable data flow to support all product analytics activities.
  • Build a scalable platform to support Celonis as a Digital Twin.
  • Refine data engineering processes to ensure data accuracy, consistency, and integrity.
  • Conduct in-depth analytic investigations to answer business questions.

🛠️ Requirements

  • Bachelor's degree or equivalent in Mathematics, Computer Science, or Data Science; Master's or PhD preferred.
  • 10+ years of relevant experience as an Analytics Engineer or Data Engineer in a SaaS or enterprise software company.
  • Experience building analytic data repositories from cloud billing, product telemetry, and observability systems.
  • Extensive experience building a scalable data stack within Databricks.
  • Hands-on experience with multi-cloud setups across GCP, AWS, and Azure.
  • Strong decision-making skills with the ability to prioritize multiple objectives.
  • Excellent written and verbal communication skills.

Benefits

  • Receive Restricted Stock Units (RSUs) and merit-based refresh grants.
  • Inclusive parental leave policy—24 weeks fully paid for primary carers.
  • Unlimited PTO and generous PTO globally.
  • Access to a dedicated learning platform and mentorship programs.
  • Subsidized Wellhub memberships and mental health counseling.
🕒 yesterday

We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite. In this role, you will shape the technical vision, define algorithmic roadmaps, and drive execution for data science.

Machine LearningAICausal InferenceAlgorithm Development

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