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About Study.com

Our mission is to make education accessible, and we’ve dedicated the last two decades to becoming the leading online education platform for over 30 million learners and educators every month, Study.com is recognized as one of the most transformational companies in EdTech. Students and educators in over 9,000 school districts use Study.com and across our college programs we have saved students over $200M in tuition. Additionally, as part of our mission we’ve donated $25 million in-kind value across social impact programs to learners and educators.

Study.com requires vaccination and boosters for all employees and we work in a hybrid environment.

As an education technology leader, Study.com owes much of its success to its data driven approach.  We help over thirty million learners and instructors on Study.com each month, improving their user experience and driving growth by collecting, storing and presenting massive amounts of data that are crucial to everyday business decisions.  We're looking for a Data Analyst to join our growing team.  The ideal candidate is passionate about digging into data, understanding and explaining the stories the data tell as well as helping others solve problems, gain insights, and make smart decisions rooted in data.  Additionally, our team built and maintains several large machine learning models the business heavily relies on as well as the entire data and ETL pipeline, so an inclination toward data science and engineering is highly preferred.

Come join us on our mission and make a difference.

Responsibilities

• As part of the Business Intelligence team, own and maintain the entire data warehouse, including 50 - 100 million events coming through a Kafka queue each day, a 15 TB relational data warehouse and an integration with Google BigQuery.
• Work in a cross-functional team and be the team's point person for any data related tasks (ETLing new data, analysis, visualizations, etc.)
• Monitor and analyze the team’s A/B tests and proactively communicate key insights within your team and to external stakeholders.
• Be the voice of data by supporting the team's product owner in finding business opportunities, defining KPIs, and setting team goals.
• Actively establish processes and build tools to make data more accessible to everyone.
• Use your knowledge of statistics to support the Business Intelligence team in building and maintaining machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, etc.) that drive a significant portion of our revenue.
• Help and teach others throughout the company to better use and understand our data.
• Present findings and insights to teammates, stakeholders, and leadership.
• Innovate!  We're a team that likes to stay on the cutting edge.  Everyone is expected to always be looking for ways to leverage the latest technology to improve our processes and drive better results.

• A passion for learning and a willingness to pick up whatever you need to get the job done
• 2-5 years of experience in a data analyst role, experience with web analytics is a plus 
• Solid SQL experience (we use MySQL and BigQuery)
• Strong analytical skills and ability to draw conclusions based on data
• Comfortable working in a fast-paced, dynamic environment while juggling multiple projects
• Solid experience in Excel for data analysis and visualization
• BS in Mathematics, Statistics, Computer Science, Operations Research, or similar fields
• Good interpersonal communication and presentation skills
• Self-motivated, detail-oriented, and passionate
• Some programming experience.  We primarily use Java/Groovy and Python, with some legacy code written in R.

• Reporting and Business Intelligence experience (Tableau, Looker, QlikView, Microstrategy, etc) 
• Hands-on experience with advanced statistical concepts, such as cluster analysis, singular value decomposition, stochastic gradient descent, and Bayesian methods
• Experience using an ETL tool (Pentaho, Talend, SSIS, etc.) on large datasets (terabytes in size) 
• Knowledge of web analytics software and best practices
• Experience with generative AI (e.g. ChatGPT, GitHub Copilot, etc.) to assist in coding and other technical tasks
• Masters Degree or PhD

The salary range for this role is $105,000 - $125,000 per year. The salary range associated with this job considers the skill sets, experience and training required for this role in the San Francisco Bay Area.

At Study.com, we know that strong communities are built on the power of our diversity and we respect and strive to understand for the diverse identities, race, ethnicities, backgrounds, and perspectives of our team members. Our work and company culture have been consistently recognized, including:

· Inc. Best Place to Work

· Fortune Great Places to Work – Best Workplaces in the Bay Area

· Golden Bridge Awards – Gold Winner, Corporate Social Responsibility

· San Francisco Business Times & Silicon Valley Business Journal – Best Places to Work

We are in the heart of downtown Mountain View, just a few steps from the Caltrain station. We have comprehensive health and wellness benefits. We offer ongoing education and professional growth opportunities, including a life-long membership to Study.com. You can also expect:

· 100% paid health, vision, and dental insurance for employees

· 401(k) with employer match

· 20 - 30 PTO days each year (increases with tenure)

· 10 paid holidays

· Work at home setup stipend

· Company-sponsored gym memberships

· Free Caltrain Pass

· Tuition reimbursement and gift matching programs

Study.com provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. In addition to federal law requirements,

Study.com complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Additionally, qualified applicants with arrest and conviction records will be considered for the position in accordance with applicable state and local laws.