Note: The job is a remote job and is open to candidates in USA. Reddit is a community of communities built on shared interests and trust. They are seeking an Analytics Engineer to be a key part of their Analytics Engineering team within the Data Science organization, focused on the Consumer domain, working closely with Data Scientists and cross-functional teams to enhance data and analytic tooling.

Responsibilities

• Be an Analytics Engineering leader within the Consumer organization and a key contributor and collaborator to the success of Data Science data quality, performance, reliability, and automation initiatives
• Be the data steward for Consumer products: architect and improve the collection of underlying data while also creating ETLs, reporting dashboards, data aggregations and other deliverables needed for product feature tracking, user retention analysis, A/B testing, and a large number of 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
• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit

Skills

• Degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics
• 4+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment
• 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
• Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering
• Experience in data visualization and dashboard design
• Deep understanding of technical and functional designs for relational and MPP Databases
• Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen
• Self-starter, ability to work independently and autonomously, as well as part of a team
• Consumer product domain experience is a big plus
• Agentic AI-assisted development experience

Benefits

• 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
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Company Overview

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