AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Analytics Engineer at Reddit. Skills: Analytics Engineering, Data Pipelines, Data Modeling. Be an Analytics Engineering leader. Contribute to Data Science initiatives”
What You'll Achieve.
Drive Reddit’s product forward; Provide a data and tooling foundation; Improve the user experience; Grow our consumer base; Support business goals; Ensure quality and reliability of data pipelines; Drive widespread adoption of tools; Build a data-driven culture
What They're Looking For.
Must Have
4+ years of experience working with large-scale ETL systems, building clean, maintainable code and systems, programming proficiency in Python, programming proficiency in SQL, programming proficiency in Spark, programming proficiency in Scala, Experience with data modeling, Experience with ETL and ELT concepts, Experience with patterns for efficient data governance, Experience with manipulating massive-scale structured and unstructured data, Experience with data workflows, Experience with data modeling, Experience with front-end engineering, Experience with back-end engineering, Experience in data visualization, Experience in dashboard design, Deep understanding of technical and functional designs for relational and MPP Databases, Proven track record of cross-functional execution, Proven track record of collaboration, Excellent communication skills
Nice to Have
Consumer product domain experience, Agentic AI-assisted development experience
What You'll Do.
Be an Analytics Engineering leader
Contribute to Data Science initiatives
Be the data steward for Consumer products
Architect data collection
Improve data collection
Create reporting dashboards
Create data aggregations
Develop data pipelines
Maintain data pipelines
Create user-friendly tools
Create applications for internal use
Streamline data analysis
Streamline reporting processes
Drive adoption of tools
Enable data self-service
Provide technical guidance
Serve as a thought partner
How You'll Work.
Team & Collaboration
Work closely with Data Scientists; Work with Consumer cross-functional teams; Collaborate with engineering; Collaborate with cross-functional stakeholders; Collaborate with data scientists; Collaborate with engineering managers; Collaborate with leadership
Communication Scope
Excellent communication skills; Communicate with cross-functional stakeholders; Communicate data foundations roadmap; Communicate data foundations strategy
Full Job Description
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. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Analytics Engineer - Consumer Data Science Check out our r/RedditEng post to learn more about the team, and what we do: https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/ On Reddit, people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to empower communities and make their knowledge accessible to everyone. With over 100,000 active communities and over 120 million daily active users, it is home to the most open and authentic conversations on the internet. Reddit’s unique and differentiated product is extremely attractive to advertisers, who can reach out to and connect to our users authentically. We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization, focused on the Consumer domain. We are looking for someone who can work closely with Data Scientists and members of Consumer cross-functional teams (Product, Engineering, and Design) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base. Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersec
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