Givebutter
Washington, DC
11-50 employees
We empower changemakers with the best tools possible to help them make the world a butter place.
Prior Listings
Senior Data Analyst, Revenue
Senior Data Analyst, Revenue
Company Description
Givebutter is the most-loved nonprofit fundraising and CRM platform, empowering millions of changemakers to raise more, pay less, and give better. Nonprofits use Givebutter to replace multiple tools so they can launch fundraisers and events, use donation forms and donor management (CRM), send emails and text blasts—all in one place. Use of the Givebutter platform is completely free with a 100% transparent tip-or-fee model.
Givebutter has been certified as a Great Place to Work® in 2021, 2022, 2023, and 2024, and is the #1 rated nonprofit software company on G2 across multiple categories.
Our mission is to empower the changemaker in all of us. We believe giving should be fun, so you’ll want to do it again, and we also believe that work should be fun, so that you’ll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter place—and have fun along the way.
Job Description
Givebutter is looking for a talented and passionate Senior Revenue Data Analyst to join our growing Data team. We’re looking for someone to be a strong partner and collaborator, working with engineers, analysts, and sales and marketing stakeholders to deeply understand the most impactful business needs and build solutions that scale as we grow.
We want to hear from people who…
- Have experience turning data from different channels - transactions, CRM systems, customer engagement platforms, web analytics, and marketing automation tools - into actionable insights that empower revenue stakeholders to make impactful decisions.
- Have collaborated with Sales, Marketing, Customer Success, Customer Experience, and Customer Support teams, deeply understanding their needs, business use cases, and data requirements.
- Have demonstrated experience turning complex data concepts into intuitive visualizations - charts, interactive dashboards, reports - that help stakeholders get to the insights more easily.
- Have strong technical statistical experience in the revenue space - multi-touch attribution, linear and logistic regression, customer segmentation and clustering, churn risk prediction, engagement scoring, and the like.
Responsibilities
- You'll quickly gain a deep understanding of the revenue team’s business needs and data sources, partnering with stakeholders to understand what’s needed in the short- and medium-term. Working with our analytics engineer, you'll own the definition, logic, and documentation of the data model that supports these needs, focusing on quality, usability, adaptability, and clear communication/documentation in a fast-changing environment.
- Manage the inflow of data requests from revenue stakeholders, ensuring adequate two-way communication on needs, expectations, and progress, and high quality, timely delivery.
- Drive the strategic roadmap of Revenue Analytics as the business grows and data needs scale in both magnitude and complexity.
- Be the subject matter expert in the customer funnel, driving and developing the company’s understanding of acquisition, conversion, engagement, and retention through behavioral analyses and insights.
- Apply statistical methodologies such as logistic regression, clustering, causal inference, predictive modeling, and experimentation to optimize each step of the funnel and derive insights that inform the best ways to engage customers at different stages and states.
- Implement and ensure consistency in data, metrics definition, and terminology across the revenue domain.
- Collaborate with the revenue teams to ensure data and logic alignment across platforms (data warehouse, Hubspot, Intercom, etc.).
- Collaborate with the data team to build a scalable source of truth across the company.
SALES, SUCCESS, AND MARKETING ANALYTICS
ACQUISITION, CONVERSION, ENGAGEMENT, AND RETENTION
DATA GOVERNANCE AND MANAGEMENT
Requirements
- Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience.
- Expert querying and data manipulation skills using SQL and Python (or any coding language).
- Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions.
- Experience in Marketing Analytics, Sales Analytics, or similar.
$130,000 - $150,000 a year
Benefits
Remote Work: Work from anywhere in the United States.
Health Insurance: We offer Medical, Dental, and Vision insurance covered 100% for employees as well as HSA and FSA accounts.
Mental Health: Givebutter health insurance plans come with access to a TalkSpace membership.
401k: We offer access to a retirement planning account for all employees with a match coming in April 2025.
Vacation and Holiday: Givebutter offers a Flexible PTO policy with uncapped Vacation days. Givebutter is closed for a whole week in the summer for an employee Wellness Week.
Parental Leave: We offer 12 weeks paid parental leave for both primary and secondary caregivers.
Home Office Stipend: Upgrade your home office with company-sponsored expenses including high-quality laptops, monitors, and modern technology.
Charitable Giving: Employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter.
Professional Development: We offer learning and development reimbursement opportunities.
Love What You Do: We are a mission-driven company serving the charitable sector. Feel good about the work you're doing and the company you work for.