Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the Analytics Engineering leader within the Sales and Marketing team and play a crucial role in enhancing Data Science data quality, performance, and automation initiatives.

• Serve as the data steward for Sales and Marketing: design and enhance the processes for data collection while also developing ETLs, reporting dashboards, data aggregations, and other essential deliverables for business tracking, advertiser outreach and acquisition, marketing campaigns, and various data-driven activities.

• Create and sustain robust data pipelines and workflows for data ingestion, processing, and transformation. Collaborate closely with engineering to ensure the quality and dependability of these data pipelines.

• Develop user-friendly tools and applications for internal use across Data Science and cross-functional teams, optimizing data analysis and reporting processes. Propel the widespread adoption of these tools and applications with a strong emphasis on automation, consistency, and reliability.

• Lead initiatives to foster a data-driven culture at Reddit by enabling data self-service.

• Offer technical guidance, mentorship, coaching, and/or training to data scientists and other technical partners.

• Act as a strategic partner for data scientists, engineering managers, and leadership on data foundations, articulating and shaping the roadmap and strategy for data foundations at Reddit.

⛳️ Requirements

• Advanced degree in a quantitative field such as statistics, operations research, computer science, applied mathematics, economics, or physics.

• For M.S. holders: Over 5 years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), and developing clean, maintainable code and systems (Python preferred) in a production setting.

• For Ph.D. holders: More than 4 years of industry experience working with large-scale ETL systems (implementation, strategy, and maintenance), and developing clean, maintainable code and systems (Python preferred) in a production setting.

• Experience in Sales and Marketing domains.

• Strong programming skills in Python, SQL, Spark, Scala, etc.

• Familiarity with data modeling, ETL, and ELT concepts, and patterns for effective data governance. Experience manipulating large-scale structured and unstructured data.

• Experience with data workflows (like Airflow), data modeling, and either front-end or back-end engineering.

• Proficient in data visualization and dashboard design, including tools such as Looker, Tableau, R visualization packages, streamlit, D3, and other libraries.

• In-depth understanding of technical and functional designs for relational and MPP databases.

• Proven ability to execute and collaborate across functions. Excellent communication skills to engage with cross-functional stakeholders at all levels of the organization with varying degrees of technical expertise.

• Experience mentoring junior data scientists and analytics engineers.

• Self-motivated, capable of working independently and autonomously, as well as collaboratively in a team.

🏝️ 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

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave