Job Description

Marketing Data Scientist
Analytics | Santa Clara, CA (Hybrid)

Responsibilities

Partner closely with marketing and other teams across the organization to identify impactful business problems, translate them into structured analyses, actionable insights, and over time, analytic models, reports, and dashboards for scalable monitoring.
Partner with marketing and other teams to forecast the conversion funnel performance, analyze issues/opportunities within conversion funnel, and support the teams as necessary to resolve/implement them.
Use exploratory data analysis techniques to quickly identify meaningful relationships, patterns, or trends that help stakeholders understand marketing performance and emerging business opportunities and risks.
Present analyses and recommendations to a wide audience, including senior business stakeholders and company-wide execs.
Collaborate with other analysts/data scientists to provide recommendations based on collective learning across various analytics efforts in the organization.

Requirements

2-4 years of previous experience in Analytics in a B2C company and in an enterprise, data-driven environment
Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business or economics) required. Master's degree in a quantitative field preferred.
Must have strong SQL and data manipulation skills.
Experience with one or more databases like Redshift, Postgres, etc.
Experience with root cause analyses and predictive modeling
Experience creating dashboards and key metrics. Familiarity with BI platforms such as Tableau a plus
Experience in web analytics platforms such as Amplitude, Google Analytics, Adobe Analytics or others a plus
Proven ability to question data, assumptions and tactics, develop an analytic approach, and deploy a variety of techniques such as trend analysis, customer segmentation and A/B tests to guide strategy and operational decision-making
Self-motivated, independent, organized and proactive, highly responsive, flexible and adaptable when working across multiple teams
Passionate about producing high-quality analytics deliverables and communicating results to a broad audience
Ability to prioritize and deliver within a fast-paced, dynamic environment

The pay range for this position is $107,799 to $198,853. The actual pay will vary based on geographic location, job requirements, professional experience, and other factors. In addition, Chegg offers a comprehensive benefits plan for eligible employees, including medical, dental, vision, life and supplemental life insurance, short-and long-term disability, mental health support, parental leave, paid time off, volunteer time off, paid holidays, 401(k) with matching contributions, Flexible Spending Account (FSA) and Health Savings Account (H.S.A.) options, an Employee Stock Purchase Plan, an Employee Referral Program, Tuition Reimbursement, and other benefits found at: https://www.chegg.com/about/working-at-chegg/benefits/.

Why do we exist?

Students are working harder than ever before to stabilize their future. Our recent research study called State of the Student shows that nearly 3 out of 4 students are working to support themselves through college and 1 in 3 students feel pressure to spend more than they can afford. We founded our business on provided affordable textbook rental options to address these issues. Since then, we’ve expanded our offerings to supplement many facets of higher educational learning through Chegg Study, Chegg Math, Chegg Writing, Chegg Internships, Thinkful Online Learning, and more to support students beyond their college experience. These offerings lower financial concerns for students by modernizing their learning experience. We exist so students everywhere have a smarter, faster, more affordable way to student.

Video Shorts

Life at Chegg: http://youtu.be/Fwf90zgaOLA

Certified Great Place to Work!: http://reviews.greatplacetowork.com/chegg

Chegg Corporate Career Page: https://jobs.chegg.com/

Chegg India: http://www.cheggindia.com/

Chegg Israel: http://www.chegg.com/about/working-at-chegg/israel/

Thinkful (a Chegg Online Learning Service): https://www.thinkful.com/about/#careers

Chegg out our culture and benefits!

http://www.chegg.com/about/working-at-chegg/benefits/

http://techblog.chegg.com/

Chegg is an equal opportunity employer

Job Description

Marketing Data Scientist
Analytics | Santa Clara, CA (Hybrid)

Responsibilities

Partner closely with marketing and other teams across the organization to identify impactful business problems, translate them into structured analyses, actionable insights, and over time, analytic models, reports, and dashboards for scalable monitoring.
Partner with marketing and other teams to forecast the conversion funnel performance, analyze issues/opportunities within conversion funnel, and support the teams as necessary to resolve/implement them.
Use exploratory data analysis techniques to quickly identify meaningful relationships, patterns, or trends that help stakeholders understand marketing performance and emerging business opportunities and risks.
Present analyses and recommendations to a wide audience, including senior business stakeholders and company-wide execs.
Collaborate with other analysts/data scientists to provide recommendations based on collective learning across various analytics efforts in the organization.

Requirements

2-4 years of previous experience in Analytics in a B2C company and in an enterprise, data-driven environment
Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business or economics) required. Master's degree in a quantitative field preferred.
Must have strong SQL and data manipulation skills.
Experience with one or more databases like Redshift, Postgres, etc.
Experience with root cause analyses and predictive modeling
Experience creating dashboards and key metrics. Familiarity with BI platforms such as Tableau a plus
Experience in web analytics platforms such as Amplitude, Google Analytics, Adobe Analytics or others a plus
Proven ability to question data, assumptions and tactics, develop an analytic approach, and deploy a variety of techniques such as trend analysis, customer segmentation and A/B tests to guide strategy and operational decision-making
Self-motivated, independent, organized and proactive, highly responsive, flexible and adaptable when working across multiple teams
Passionate about producing high-quality analytics deliverables and communicating results to a broad audience
Ability to prioritize and deliver within a fast-paced, dynamic environment