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Senior Product Analyst, Growth
2 months ago
We are seeking a highly skilled Senior Product Analyst, Growth to join our team at DocuSign, Inc. This is an individual contributor role reporting to the Sr. Manager, Growth Analytics.
Key Responsibilities- Lead analytics and experimentation analysis for key customer acquisition paths, including free and trial experiences, sales-assisted purchasing, and in-product upgrade flows.
- Build, maintain, and monitor dashboards that track experiences to spot trends, quickly understand performance, and ensure no adverse impact after releases.
- Apply business acumen and analytics techniques to datasets related to or impacted by digital experiences to identify areas of opportunity and size potential impact.
- Conduct in-depth analysis of cohort performance and incrementally tied to in-product experiments and updates.
- Forecast how experience changes will impact our business performance.
- Own experimentation roadmap for key new customer journeys: identify and prioritize opportunities with product managers, write test charters, and provide test analysis and recommendations to stakeholders.
- Partner with cross-functional teams to enhance existing analytics models, pipelines, and dashboards, create additional metrics, reports, or visualizations based on evolving business needs.
- Bachelor's in a quantitative field (Statistics, Finance, Math, CS, or related) with 5+ years of relevant experience in customer behavior analytics or Advanced Degree in a quantitative field with 3+ years of relevant experience.
- 3+ years of experience using SQL with hands-on exposure to database structures and principles, data models, and dimensional models.
- 2+ years of hands-on experience with Mixpanel, Google Analytics, Amplitude, Adobe Analytics, or equivalent web and product analytics tools.
- 3+ years of hands-on experience in A/B testing and experimentation with a history of arriving at conclusive results.
- Experience with Statistics concepts and analysis, e.g., hypothesis testing, regression, experimental design, etc.
- Experience utilizing both qualitative and quantitative analysis techniques.
- Experience building dashboards in Data Studio, Tableau, or equivalent.
- Advanced spreadsheet modeling skills, including pivot tables and complex formulas.
- Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership.
- Comfortable with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutions.
- Knowledge and hands-on experience with statistical testing, such as A/B, multivariate, and Bayesian testing.
- Experience optimizing product experiences to achieve world-class conversion and retention rates.
- Familiarity with software sales pipeline and methods for measurement and optimization.
- Good familiarity with the principles of data science and data engineering.
- Attention to detail with a focus on data quality, data consistency, and criticality.
- Advanced data analysis skills, e.g., database query construction, data warehousing, forecasting, data mining, and experience in business analysis.
- Exposure to big data platforms, such as Snowflake, Redshift, Azure, Matillion, Alteryx, DBT, etc.
Pay for this position is based on a number of factors, including geographic location, and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations:
California: $128,000 - $200,200 base salary
Illinois and Colorado: $123,000 - $170,225 base salary
Washington and New York (including NYC metro area): $123,000 - $176,625 base salary
Washington DC: $128,000 - $176,625 base salary
This role is also eligible for bonus, equity, and benefits.
Equal Opportunity EmployerDocuSign, Inc. is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude, and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.