Senior Analytics Engineer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
What this role actually needs.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Responsibilities: - Be the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives. - Be the data steward for Sales and Marketing: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for business tracking, advertiser outreach and acquisition, marketing campaigns, and other data-driven activities. - Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines. - Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability. - Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service. - Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners. Requirements: - Advanced degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics - For M.S. holders: 5+ years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, code and systems (Python preferred) in a production environment. - For Ph.D. holders: 4+ years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, code and systems (Python preferred) in a production environment. - Experience working in Sales and Marketing domains. - Strong programming proficiency in Python, SQL, Spark, Scala, etc. - Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data. Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits Company context: Reddit builds large-scale consumer, ads, and platform systems with hiring across mobile, backend, machine learning, and product engineering.
Day-to-day expectations
Reddit lists these responsibilities for the Senior Analytics Engineer role.
- Be the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives.
- Be the data steward for Sales and Marketing: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for business tracking, advertiser outreach and acquisition, marketing campaigns, and other data-driven activities.
- Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.
- Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.
- Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.
- Provide technical guidance, mentorship, coaching and/or training to data scientists and other technical partners.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Advanced degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics
- For M.S. holders: 5+ years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, code and systems (Python preferred) in a production environment.
- For Ph.D. holders: 4+ years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, code and systems (Python preferred) in a production environment.
- Experience working in Sales and Marketing domains.
- Strong programming proficiency in Python, SQL, Spark, Scala, etc.
- Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Why people would want this job
Reddit published these compensation, benefits, or working-context details with the role.
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
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Source: job-boards.greenhouse.io · Source ID: 7445224 · Confidence: 90/100 · Last checked: May 7, 2026
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