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 Senior Data Analyst, you are deeply curious about data and passionate about storytelling, with a strong ability to identify trends and patterns using analytics tools and methodologies.

You are comfortable presenting analytics-driven insights to diverse audiences and tailoring messages based on technical aptitude.

In this role, you will support top-line growth and retention metrics across Docusign by improving data quality, driving internal adoption, and delivering high-impact analysis for Field Sales.

You will build clear, compelling data narratives that help executives understand opportunities and accelerate decision-making, while collaborating closely with our Field Teams, including Sales and Customer Success to translate data needs into actionable insights.

This position is an individual contributor role reporting to the Senior Manager, Product Management.

Responsibility Act as a data champion, fostering a culture of curiosity and continuous improvement by identifying new opportunities to leverage data for business growth and operational excellence Provide data-driven support for escalations and enhancement requests by quantifying impact and prioritizing interventions Leverage advanced analytics and hands-on experience with AI tools to streamline data analysis, automate reporting, and accelerate business decision-making for sales and executive stakeholders Explore large-scale datasets using SQL and AI-assisted analytics platforms to uncover actionable insights, identify trends, and solve complex business problems Partner with Product managers to build predictive models, KPIs and AI-driven insights to drive improved analytics and data democratization across Docusign Develop executive-ready dashboards and visualizations to communicate customer health & usage, and strategic opportunities for our Account Teams to drive growth Drive AI-enabled automation, self-service analytics, and data governance to improve efficiency, scalability, and insight quality 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 such as Data Science, Statistics, Mathematics, or a related discipline 8+ years of experience as a Data Analyst, preferably in customer success, GTM, or sales role supporting internal teams Proven expertise navigating Tableau, Salesforce and Snowflake

Experience: using AI models and tools to streamline data analytics and generate insights Strong proficiency in SQL and experience working with large data sets Solid functional understanding of sales lifecycle with background in SaaS Strong analytical mindset and a passion for extracting meaningful insights Excellent communication skills, both verbal and written, with the ability to present complex findings in a clear and concise manner Preferred Knowledge in subscription business model Excellent written and verbal communication skills 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:

As a Senior Data Analyst, you are deeply curious about data and passionate about storytelling, with a strong ability to identify trends and patterns using analytics tools and methodologies.

You are comfortable presenting analytics-driven insights to diverse audiences and tailoring messages based on technical aptitude.

In this role, you will support top-line growth and retention metrics across Docusign by improving data quality, driving internal adoption, and delivering high-impact analysis for Field Sales.

You will build clear, compelling data narratives that help executives understand opportunities and accelerate decision-making, while collaborating closely with our Field Teams, including Sales and Customer Success to translate data needs into actionable insights.

This position is an individual contributor role reporting to the Senior Manager, Product Management.

Responsibility Act as a data champion, fostering a culture of curiosity and continuous improvement by identifying new opportunities to leverage data for business growth and operational excellence Provide data-driven support for escalations and enhancement requests by quantifying impact and prioritizing interventions Leverage advanced analytics and hands-on experience with AI tools to streamline data analysis, automate reporting, and accelerate business decision-making for sales and executive stakeholders Explore large-scale datasets using SQL and AI-assisted analytics platforms to uncover actionable insights, identify trends, and solve complex business problems Partner with Product managers to build predictive models, KPIs and AI-driven insights to drive improved analytics and data democratization across Docusign Develop executive-ready dashboards and visualizations to communicate customer health & usage, and strategic opportunities for our Account Teams to drive growth Drive AI-enabled automation, self-service analytics, and data governance to improve efficiency, scalability, and insight quality
Basic Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, or a related discipline 8+ years of experience as a Data Analyst, preferably in customer success, GTM, or sales role supporting internal teams Proven expertise navigating Tableau, Salesforce and Snowflake

Experience: using AI models and tools to streamline data analytics and generate insights Strong proficiency in SQL and experience working with large data sets Solid functional understanding of sales lifecycle with background in SaaS Strong analytical mindset and a passion for extracting meaningful insights Excellent communication skills, both verbal and written, with the ability to present complex findings in a clear and concise manner Preferred Knowledge in subscription business model Excellent written and verbal communication skills