Lead Analyst, Lifecycle Marketing

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 for Docusign’s lifecycle marketing campaigns. You will work with complex data, measure and benchmark campaign performance, design and run experiments to evaluate campaign effectiveness, and play a critical part in continuously optimizing the omni-channel campaign strategies in all stages of customer journey worldwide.

You will partner closely with teams including, but not limited to Lifecycle Marketing, Campaign Operations, and Data Science.

You will excel as a trusted advisor, creative problem solver, and exceptional problem-solver with a proven ability to structure and navigate sophisticated 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 Lifecycle Marketing Analytics. Responsibility Drive analytics and KPIs for key lifecycle marketing campaigns across channels (Email, in-product messaging, chat, web, etc) and across customer journey stages - acquisition, onboard and engage, convert, grow and retain Identify and analyze metrics to measure and optimize marketing campaign strategies and spend Build, maintain, and monitor dashboards for campaigns to quickly understand performance and spot trends or outliers Conduct in-depth analysis of cohort performance and incrementally tie to campaign experiments Partner with cross-functional teams in Lifecycle Marketing and Campaign Operations to enhance existing campaign audience segmentation models and targeting tactics Support the experimentation roadmap for digital experiences : identify and prioritize opportunities, write test charters, partner with fellow analysts and data scientists on analysis and recommendations to stakeholders Manage a team of two 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 Degree in a quantitative field (Statistics, Data Science, Finance, Math, CS, or related) with 8+ years of relevant experience in customer behavior analytics, or Advanced Degree in a quantitative field with 5+ years of relevant experience 6+ years of SQL skills with excellent hands-on experience in creating complex queries across multiple database schemas 4+ years hands-on experience with marketing and campaign measurement 3+ years hands-on experience in A / B testing and experimentation with history of arriving at conclusive results Experience building dashboards in Tableau, Qlik, PowerBI or similar Experience in at least one programming language, such as Python, R, Scala, Spark, Perl Experience with Statistics concepts and analysis, such as hypothesis testing, regression, experimental design Experience with spreadsheet modeling skills including pivot tables and complex formulas Experience using both qualitative and quantitative analysis techniques Experience with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutions Preferred Experience optimizing campaigns to achieve premier conversion rates Good familiarity with the principles of data science and data engineering Attention to detail with focus on data quality, data consistency and criticality Advanced data analysis skills, such as 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 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 Illinois and Colorado : $129,000.00 - $182,250.00 base salary Washington and New York (including NYC metro area) : $129,000.

00 - $190,550.00 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.

EEO Know Your Rights poster #LI-Hybrid #LI-UI1Basic Bachelor’s Degree in a quantitative field (Statistics, Data Science, Finance, Math, CS, or related) with 8+ years of relevant experience in customer behavior analytics, or Advanced Degree in a quantitative field with 5+ years of relevant experience 6+ years of SQL skills with excellent hands-on experience in creating complex queries across multiple database schemas 4+ years hands-on experience with marketing and campaign measurement 3+ years hands-on experience in A / B testing and experimentation with history of arriving at conclusive results Experience building dashboards in Tableau, Qlik, PowerBI or similar Experience in at least one programming language, such as Python, R, Scala, Spark, Perl Experience with Statistics concepts and analysis, such as hypothesis testing, regression, experimental design Experience with spreadsheet modeling skills including pivot tables and complex formulas Experience using both qualitative and quantitative analysis techniques Experience with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutions Preferred Experience optimizing campaigns to achieve premier conversion rates Good familiarity with the principles of data science and data engineering Attention to detail with focus on data quality, data consistency and criticality Advanced data analysis skills, such as 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 Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadershipYou will be a hands-on analytics leader for Docusign’s lifecycle marketing campaigns.

You will work with complex data, measure and benchmark campaign performance, design and run experiments to evaluate campaign effectiveness, and play a critical part in continuously optimizing the omni-channel campaign strategies in all stages of customer journey worldwide.

You will partner closely with teams including, but not limited to Lifecycle Marketing, Campaign Operations, and Data Science.

You will excel as a trusted advisor, creative problem solver, and exceptional problem-solver with a proven ability to structure and navigate sophisticated 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 Lifecycle Marketing Analytics. Responsibility Drive analytics and KPIs for key lifecycle marketing campaigns across channels (Email, in-product messaging, chat, web, etc) and across customer journey stages - acquisition, onboard and engage, convert, grow and retain Identify and analyze metrics to measure and optimize marketing campaign strategies and spend Build, maintain, and monitor dashboards for campaigns to quickly understand performance and spot trends or outliers Conduct in-depth analysis of cohort performance and incrementally tie to campaign experiments Partner with cross-functional teams in Lifecycle Marketing and Campaign Operations to enhance existing campaign audience segmentation models and targeting tactics Support the experimentation roadmap for digital experiences : identify and prioritize opportunities, write test charters, partner with fellow analysts and data scientists on analysis and recommendations to stakeholders Manage a team of two