Senior Product Data Analyst

Academia.edu is a venture-backed, for-profit business, based in San Francisco. We have spent the last 13 years building the world’s largest network for sharing and finding academic research online. With over 165M users and nearly half of the world’s academics using our platform every month, our product team develops and grows compelling products for researchers and academics at a massive scale. In addition to our mission of accelerating the world’s research, we are in a unique position to disrupt the $25B academic publishing industry. Come join us and make a difference while building a successful business!

Academia.edu is hiring a Senior Product Data Analyst
Despite several companies laying off workers due to the challenges of the Covid-19 pandemic, Academia.edu in San Francisco is private, profitable, and still growing rapidly. We’re looking for a talented Senior Product Data Analyst to help us achieve this mission.

See our Remote Work Policy, below.

Life is short - do something that matters!
Join a company where your work changes the world for the better. As a Senior Product Data Analyst on our Data Analytics Team, you will play an important role in decisions to improve our products and company by analyzing our massive data to derive insights and present them to the decision-makers.

What you will do:
As a Senior Product Data Analyst, and part of the Data Analytics team, you will:
• Work closely with Academia’s Growth Team, leading the design and analysis of many A/B tests and providing recommendations based on the results.
• Interface daily with Academia’s Product Management team, Leadership and Executives.
• Be responsible for building the PM team’s analytical skills and tackle many of the most challenging data analysis questions yourself.
• Use data and analytics to routinely answer questions on user behavior and the results of product tests.
• Routinely monitor product, financial, and user metrics for trends, changes, and unexpected behavior; work with the PM team to evaluate which metrics should be monitored.
• Create reports to reflect various changes in business metrics e.g. traffic, sign-ups, upgrades, retention/churn, feature usage, email CTRs, etc., and present them to various members of the company as needed.
• Translate metrics, investigations, and findings into likely business outcomes.
• Independently design an accurate and consistent framework for answering analytics questions.
• Suggest new business and product opportunities based on data insights.
• Proactively identify ways to improve day-to-day responsibilities, such as optimizing database structure, implementing report automation, researching the use of better analytics tools, etc.
• Communicate business requirements to the rest of the Data Science team to enable new analyses.

About you:
• Bachelors and/or Masters in Math, Statistics, or related quantitative field
• 4+ years of relevant experience doing product analytics and business analytics for very large-scale datasets.
• Experience working directly with embedded PMs for online B2C platforms
• Excellent SQL skills are a must.
• Programming skills with one or more of these languages R, Python, SAS... and the willingness and ability to learn new languages and tools as needed.
• Extensive experience querying large, complex data sets & proven ability to derive and present insights from multiple imperfect, varied, and inconsistent data sources using a scientific approach
• Experience with descriptive statistics and A/B testing approaches
• Expertise in creating spreadsheets of your findings and the presentation skills to share them in a coherent format with all stakeholders i.e. engineering, product, and company leadership teams.
• Detail-oriented with superior organizational skills; able to define stakeholder requests into projects and navigate between multiple projects, meet deadlines, and process ad hoc report requests from PMs, Leadership and Engineering as needed.
• Curious, resourceful, collaborative, communicative, and autonomous
• Positive and team-oriented "can-do" attitude
• Experience with the following (or comparable) tools is a plus: Redshift, our primary data warehouse technology; Sisense/Periscope our primary dashboarding tool; R or Python.
• Expertise in data wrangling, ETL and data mining techniques a plus.
• Statistical modeling (regression analysis, ANOVA) a plus.

Benefits & perks:
• Compensation & Benefits: Competitive salary, stock options, Flexible Spending Account (FSA) & DCA, & a 401k.
• Health & Self-Care: Paid medical, dental, & vision insurance for employees & their dependents.
• Flexible sick days, flexible hours, 21 days of paid vacation, eleven paid company holidays, and paid parental leave.
• New Mac laptops with the accessories needed to maximize productivity and standing desks.
• Convenience & Location: Catered lunches served daily, snacks & drinks. On-site showers & bike storage. The office is located just a short walk to public transportation.
• Learning & Development: Budget for professional development, team building, and events. Free books.
• Fun & Activities: Chess, foosball, piano, guitar, board games, juggling. A Company retreat every summer. Weekly Bootcamp with our personal trainer.
• Paid Sabbatical: Six weeks of fully-paid sabbatical leave for every four years you work here.

Diversity and Inclusion
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.

Academia's Post-Covid Remote Work Policy, Effective June 1, 2021

• Academia will start hiring from a national pool
• Employees may move to and work from remote locations, anywhere in the U.S., permanently
• Academia values collaboration, and for anyone in the Bay Area, we will establish a norm that people come into the office 1-2 days a week (once it is safe to do so). It's a norm, and not mandatory. Employees can work from home in the Bay Area 5-days a week, if they decide they are more productive like that.
• We will have frequent company retreats, when it is safe to do so, where we all try to get together, and the Company will pay for people who are remote to fly in.
• This is an evolving policy, and will be updated, as we learn more.
• Our core work hours are 10am-4pm PDT.