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Lead Analytics Engineer - New Revenue

DocuSign
parental leave, paid time off, remote work
United States, California, San Francisco
221 Main Street (Show on map)
Dec 10, 2024
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

As a Lead Analytics Engineer in New Revenue Growth, you will be responsible for building and using data driven insights to accelerate revenue growth by discovering, incubating, and scaling new revenue streams through pilot programs. You will own the entire analytics process, from initial hypothesis to data engineering and optimization, adopting an ownership mentality in engineering, strategy and execution.

This role is unique in that it's not confined to a single surface area or function -you will own the analytics end-to-end experience across multiple touchpoints. You will create and maintain data processes and dashboards that effectively capture and organize relevant information, ensuring data integrity and accessibility. Ultimately, your expertise will drive operational efficiency and foster data driven decision making throughout the organization. You'll collaborate with a core team of engineers, product managers, designers, marketers, and growth experts, with support from the broader growth team across product, marketing, and sales.

Our ideal candidate combines best-in-class analytical and data engineering skills, a strong strategic mindset with a bias for execution, a passion for experimentation and continuous learning, and high proficiency with a leading analytics and data science tech stack.

This position is an individual contributor role reporting to the Senior Manager, Growth Analytics.

Responsibility

  • Develop and maintain data tables and dashboards to effectively capture and present key metrics

  • Implement updates and optimizations to enhance the usability and functionality of data frameworks in alignment with evolving business needs

  • Work closely with product, engineering, and business units to ensure seamless execution of pilot programs and initiatives

  • Implement A/B testing and rapid experimentation to validate new growth levers and scale successful initiatives

  • Develop, test, and optimize pilot programs across multiple channels (email, push notifications, in-product) to drive customer growth

  • Conduct in-depth analyses of the end-to-end customer journey, identifying pain points and opportunities for growth, efficiency, and improved customer satisfaction

  • Provide regular reporting on key metrics to executive leadership, highlighting successes, identifying risks, and recommending proactive solutions


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 8 years of relevant experience in data analytics, data science, consulting, or Advanced Degree in a quantitative field with 6 years of relevant experience
  • 5+ years of SQL skills with excellent hands-on exposure to creating complex queries across multiple database schemas
  • 3+ years hands-on experience in A/B testing and experimentation with history of arriving at conclusive results
  • 3+ years of experience creating data visualization dashboards in Tableau, Qlik, or equivalent
  • 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
  • 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
  • Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership

Wage Transparency

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: $134,900.00 - $216,975.00 base salary

This role is also eligible for bonus, equity 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 accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com 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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