Chegg, Inc.
Marketing Data Scientist
Chegg, Inc., Santa Clara, California, us, 95053
Responsibilities
Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.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.Requirements2-4 years of previous experience in Analytics in a B2C company and in an enterprise, data-driven environmentBachelor'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 modelingExperience creating dashboards and key metrics. Familiarity with BI platforms such as Tableau a plusExperience in web analytics platforms such as Amplitude, Google Analytics, Adobe Analytics or others a plusProven 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-makingSelf-motivated, independent, organized and proactive, highly responsive, flexible and adaptable when working across multiple teamsPassionate about producing high-quality analytics deliverables and communicating results to a broad audienceAbility to prioritize and deliver within a fast-paced, dynamic environment
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Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.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.Requirements2-4 years of previous experience in Analytics in a B2C company and in an enterprise, data-driven environmentBachelor'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 modelingExperience creating dashboards and key metrics. Familiarity with BI platforms such as Tableau a plusExperience in web analytics platforms such as Amplitude, Google Analytics, Adobe Analytics or others a plusProven 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-makingSelf-motivated, independent, organized and proactive, highly responsive, flexible and adaptable when working across multiple teamsPassionate about producing high-quality analytics deliverables and communicating results to a broad audienceAbility to prioritize and deliver within a fast-paced, dynamic environment
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