Reddit is hiring a Senior Analytics Engineer to join the Analytics Engineering team within our Data Science organization. You will focus on the Sales and Marketing domain, where you'll be responsible for curating, developing, and deploying data and analytic tooling that drives business growth. Your work will empower colleagues and expand Reddit's Sales and Marketing reach.
What You'll Do
- Serve as the Analytics Engineering lead within the Sales and Marketing organization and a key contributor to Data Science data quality, performance, and automation initiatives.
- Act as the data steward for Sales and Marketing: architect and improve data collection while creating ETLs, dashboards, and aggregations for business tracking, advertiser outreach, and marketing campaigns.
- Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
- Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining analysis and reporting.
- Drive widespread adoption of tools with a 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.
What We're Looking For
- Undergraduate degree in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc.
- 4+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance).
- Experience 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.
- Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering.
- Experience in data visualization and dashboard design, including tools such as Looker, Tableau, R visualization packages, streamlit, D3, and other libraries.
- 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.
- Experience in mentoring junior data scientists and analytics engineers.
- Self-starter, ability to work independently and autonomously, as well as part of a team.
Nice to Have
- M.S. or Ph.D. in a quantitative discipline.
- Sales and Marketing domain experience is a big plus.
- Past experience collaborating closely with data scientists, sales, and marketing managers.
Technical Stack
- Python, SQL, Spark, Scala
- Airflow, Looker, Tableau
- R visualization packages, streamlit, D3
Team & Environment
You will be part of the Analytics Engineering team within the Data Science organization, focused on the Sales and Marketing domain.
Benefits & Compensation
- Compensation: $190,800 - $267,100 USD + equity: Eligible to receive equity in the form of restricted stock units
- 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
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Work Mode
This role is open to candidates based in the United States.
Reddit is proud to be an equal opportunity employer and is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
