Academia.edu has built and is expanding the premier distribution and peer review platform for academic research. Guided by our mission to democratize and accelerate the world’s research, Academia aims to make every academic paper ever published available for free online and accessible by anyone in the world. This is just the start of our long-term vision and we are growing fast!

Academia’s platform has registered more than 210 million users (still growing at 2M monthly), and has many millions of unique visitors every month, including over 30M logged-in monthly active users (MAU). We have over 300,000 paying premium subscribers, which has contributed to us being profitable YOY the last five years in a row.

Academia has attracted $62 million in investment from leading VC firms including Khosla Ventures, True Ventures, Spark Capital, and Tencent. Our work has garnered favorable attention from trade and mainstream media including UK Times, Fortune, Wired, EdTech, Venture Beat, San Francisco Business Times, The Economist, The Washington Post, TechCrunch, Scientific American, and Forbes.

Academia is a proud equal-opportunity employer, and we are committed to hiring and supporting a diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Please note that this role is in the San Francisco Bay Area. We're excited to have a packed and lively office on Tuesdays and Thursdays. Twice a week, those of us in the Bay Area come to our office located in the Financial District for All Hands, intense collaboration, brainstorming activities, and fun events. There are small rooms for 1-1 mentoring sessions or heads down work, and larger rooms for team activities. We continue to support a flexible work environment for all of life’s surprises and needs with generous time off and flexible work schedules.

The data team includes folks from various backgrounds including academia, consulting, government, and tech. Product data analysts are embedded on various product teams, some of which currently include author products, publishing, user segmentation, mobile apps, and SEO. We rotate product team assignments every 6-12 months, creating opportunities to work on various products at different maturity stages. The team shares what they're working on a few times a week to enhance transparency and create space for within-team collaboration. Identifying opportunities for learning on your own and with others is highly encouraged. Our stack includes Redshift for our data warehouse; Sisense/Periscope for dashboarding; DBT for data transformations; and SQL plus Python or R for analyses.

How You'll Contribute

• Partner with product managers, software developers, and executives to identify underlying questions, uncover insights, and generate product recommendations.
• Own A/B testing data and analyses for your embedded product team. Communicate findings and recommendations to stakeholders.
• Automate recurring questions using different elements of our data stack.

About You

• The following is an ideal list of skills for this position. Please feel free to apply even if you don't meet all of the requirements below.
• 3+ years of relevant experience doing product analytics and/or data analytics.
• Excellent SQL skills. This includes working with tables up to a few TB large, using CTEs, and using window functions.
• Industry experience with descriptive statistics and A/B testing approaches.
• Experience with Python or R for data analysis.
• Open to learning new languages and tools as needed.
• Experience with various parts of our stack mentioned in the “About the data team” section is a plus.