Analytics Engineer

Reddit • Toronto, ON

8d • Remote

About The Position

Reddit is seeking a talented and driven Analytics Engineer to join its Consumer Data Science team. This role is crucial for curating, developing, and deploying data and analytic tooling to advance Reddit's product and establish a long-lasting data foundation. The successful candidate will collaborate with Data Scientists and Consumer cross-functional teams (Product, Engineering, and Design) to empower colleagues in improving user experience and growing the consumer base. This position bridges Data Science and Data Engineering, requiring expertise and passion in both domains. Reddit offers a flexible workforce, allowing remote work in countries where they have a physical presence, or in-office work at their physical locations.

Requirements

• 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.

Nice To Haves

• Consumer product domain experience is a big plus.
• Agentic AI-assisted development experience.

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level