Senior Product Growth Analyst - Partners

San Francisco, CA, United States

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

You will be a hands-on analytics leader driving analytics for Docusign's partners ecosystem. We are in the midst of transforming the Docusign digital experience to improve customer experience and reduce friction to achieve customer outcomes. You will use data to shape product roadmap, measure, benchmark, and play a key part in continuously optimizing and enabling key partner journeys including, but not limited to, partner enablement and self-serve flows, partners marketing flows etc to further accelerate our customers goals. You will partner closely with fellow analysts, data scientists, product managers, partner marketing managers and other cross-functional partners to understand the end-to-end customer journey related to various experiences. You will then use this knowledge to analyze performance and identify and size opportunities for growth and improved customer experiences across channels and experiences.

You will excel as a trusted advisor, creative thinker, and exceptional problem-solver with a demonstrated ability to structure and navigate complex problems and processes. You can simultaneously think strategically and take a hands-on approach to deep dive into our data to deliver high level or detailed well-structured models and analysis depending on the business need. You will succeed by combining analytical insight, technical proficiency, business acumen, and the ability to collaborate and influence your key partners and cross-functional teams.

This position is an individual contributor role reporting to the Head of Install Analytics.

Responsibility

Partner with a diverse set of cross-functional partners across Product, Marketing, Engineering, Design, Sales, Finance and others to inform, influence, and implement product strategy and investment decisions

Use data to shape product and marketing roadmap, quantify new opportunities, and ensure what we are building brings value to our customers and Docusign

Conduct in-depth data analysis from massive amounts of data to extract useful business insights and provide recommendations

Design and build intuitive and actionable dashboards and data visualizations to drive business decisions

Apply business acumen and employ a diverse toolkit of rigorous analytical approaches to identify areas of opportunity, size potential impact, forecasting, and measure success of product efforts through goal setting, and monitoring of key product metrics to understand trends

Own experimentation roadmap for partners growth experiences

Identify and prioritize opportunities, write test charters, analyze experiment results, and provide recommendations to collaborators

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

Bachelor's in a quantitative field (Statistics, Analytics, Data Science, CS, or related) with 5 years of relevant experience in data analytics, data science, consulting, or Advanced Degree in a quantitative field with 3 years of relevant experience

3+ years of SQL skills with excellent hands-on exposure to creating complex queries across multiple database schemas

Experience in at least one programming language (eg. R, Python, Scala/Spark or Perl etc)

Experience with applied statistics skills, such as statistical testing, regression modeling, etc

2+ years hands-on experience in A/B testing and experimentation with history of arriving at conclusive results

2+ years of experience creating data visualization dashboards in Tableau, Qlik, or equivalent

Experience in presenting complex data analysis, insights, and recommendations to senior leadership with excellent communication

Domain experience in either Product Analytics or Marketing Analytics

Preferred

MBA or Advanced degree in Analytics, Data Science, Statistics, CS or related field

Strong knowledge and hands-on experience with statistical testing such as A/B, multivariate, and Bayesian testing

Comfortable with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the cross functional teams to build solutions

Wage Transparency

Based on applicable legislation, the below details pay ranges in the following locations:

California: $122,300 - $190,650 base salary

This role is also eligible for bonus, equity and benefits.

This role is also eligible for bonus and benefits.

Global benefits provide options for the following:

Paid Time Off: earned time off, as well as paid company holidays based on region

Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement

Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment

Retirement Plans: select retirement and pension programs with potential for employer contributions

Learning and Development: options for coaching, online courses and education reimbursements

Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

Life at Docusign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [email protected].

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

Equal Opportunity Employer

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign 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.

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