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 The Senior Data Analyst is a new position and will serve as a founding analyst of our expanding Rev Ops Business Analytics program.

This is a high-visibility role responsible for architecting the reporting infrastructure and KPI monitoring that senior leaders rely on to drive the business.

You will own the analytics for critical workstreams, including financial analyses, key bookings drivers, and process automation, while performing deep-dives into discounting behaviors and monetization policy.

We are looking for a self-starter who thrives in ambiguity and can deliver analytics solutions that will define Docusign's next phase of revenue growth.

This position is an individual contributor role reporting to the Business Analytics Director.

Responsibility Partner with Finance, Sales, and Operations to translate complex business questions into actionable and proactive insights that drive decision-making Build scenario models and track core SaaS metrics, including cohort retention, expansion rates, and bookings drivers to enhance forecasts Deliver high-stakes analytics for executive priorities, including quarterly business reviews (QBRs), earnings prep, and ad-hoc analyses Create high-performance SQL queries and Tableau dashboards while partnering with the Global Data team to enrich pipelines and scale the analytics program Leverage modern tools (dbt, Snowflake) and AI to enhance output quality, automate refresh cycles, and implement scalable analytics solutions Conduct risk analyses to calibrate discount approval rigor and implement monitoring solutions to preserve program integrity 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, Engineering, Economics, or a related field 5+ years of related experience in Analytics, Revenue Operations, Sales Operations, or Strategy in a SaaS environment 5+ years of experience developing complex SQL (Snowflake, Google Big Query, etc) queries and using various SQL functions (window functions, aggregation functions, CTEs, etc)

Experience: with advanced Excel functions (pivot tables, macros, scenario modeling)

Experience: with data visualization concepts and tools (Tableau) Fluent in English Preferred Strong knowledge of Bookings, Revenue, ACV and other key SaaS finance metrics

Experience: building scalable Snowflake data models using dbt, incorporating automated testing and refresh cycles A track record of driving continuous process improvement to enable efficient growth at scale

Experience: with various statistical analysis concepts Ability to operate independently and under ambiguity Ability to integrate AI workflows to improve output accuracy and drive scalable analytics Strong analytical approach and a passion for extracting meaningful insights 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:

The Senior Data Analyst is a new position and will serve as a founding analyst of our expanding Rev Ops Business Analytics program.

This is a high-visibility role responsible for architecting the reporting infrastructure and KPI monitoring that senior leaders rely on to drive the business.

You will own the analytics for critical workstreams, including financial analyses, key bookings drivers, and process automation, while performing deep-dives into discounting behaviors and monetization policy.

We are looking for a self-starter who thrives in ambiguity and can deliver analytics solutions that will define Docusign's next phase of revenue growth.

This position is an individual contributor role reporting to the Business Analytics Director.

Responsibility Partner with Finance, Sales, and Operations to translate complex business questions into actionable and proactive insights that drive decision-making Build scenario models and track core SaaS metrics, including cohort retention, expansion rates, and bookings drivers to enhance forecasts Deliver high-stakes analytics for executive priorities, including quarterly business reviews (QBRs), earnings prep, and ad-hoc analyses Create high-performance SQL queries and Tableau dashboards while partnering with the Global Data team to enrich pipelines and scale the analytics program Leverage modern tools (dbt, Snowflake) and AI to enhance output quality, automate refresh cycles, and implement scalable analytics solutions Conduct risk analyses to calibrate discount approval rigor and implement monitoring solutions to preserve program integrity
Basic Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Engineering, Economics, or a related field 5+ years of related experience in Analytics, Revenue Operations, Sales Operations, or Strategy in a SaaS environment 5+ years of experience developing complex SQL (Snowflake, Google Big Query, etc) queries and using various SQL functions (window functions, aggregation functions, CTEs, etc)

Experience: with advanced Excel functions (pivot tables, macros, scenario modeling)

Experience: with data visualization concepts and tools (Tableau) Fluent in English Preferred Strong knowledge of Bookings, Revenue, ACV and other key SaaS finance metrics

Experience: building scalable Snowflake data models using dbt, incorporating automated testing and refresh cycles A track record of driving continuous process improvement to enable efficient growth at scale

Experience: with various statistical analysis concepts Ability to operate independently and under ambiguity Ability to integrate AI workflows to improve output accuracy and drive scalable analytics Strong analytical approach and a passion for extracting meaningful insights