Analytics Engineer

Remote from: 🇺🇸 USA
Annual salary, USD: 120,000 - 150,000
Job function: Data Science
Job type: Full Time,
Job posted: 28 Oct 2024
Apply before: 27 Nov 2024
Industry: Fundraising

World's first free end-to-end fundraising platform powering $150M+ in donations annually for thousands of good causes.💛

Fundraising
2016

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.

Givebutter is looking for a talented and passionate Analytics Engineer to join our growing Data team. We’re looking for someone to be a strong partner and collaborator, working with engineers, analysts, and stakeholders to understand business needs and data capabilities, and build solutions that scale as we grow.

We want to hear from people who…

Have successfully designed and implemented a fit-for-purpose data model optimized for action-oriented analytics use cases and company-wide reporting.
Have experience creating and maintaining scalable, cost-effective data pipelines to manage and transform large amounts of data and ensure a high-quality data model.
Can partner with Product and Engineering to integrate data upstream and downstream across our customer engagement platforms (Hubspot, Stripe, etc.).
Know how to establish and enforce robust data integrity standards to ensure data is consistent, timely and accurate.

Responsibilities:

DATA MODELING:

Gain a deep understanding of data needs and use cases, partnering with stakeholders and analysts to understand what’s needed in the short- and medium-term.
Own the creation and execution of the data model that supports these needs, with a focus on quality, usability, and adaptability in a fast-changing environment.

PIPELINE BUILDING AND MANAGEMENT:

Own the creation and execution of data pipelines that drive business intelligence and analytics across the company.
Partner with Product and Engineering in ingesting and transforming data into a reliable, usable, and scalable structure.
Own the company’s data stack (we use Snowflake, dbt, Fivetran, Mozart, and Hex).
Consistently deploy solutions that improve the efficiency of data transforms, with a focus on speed, cost effectiveness, and stability.

DATA INTEGRATION:

Define what needs to be tracked in our different platforms and translate these into technical requirements for Product and Engineering.
Drive the future roadmap of Product and Revenue teams from a data systems perspective.

DATA GOVERNANCE AND TESTING:

Implement and ensure consistency in data, metrics definition, and terminology across all data products: data warehouse, KPIs, dashboards, reports, and self-serve.

Requirements:

Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience.
Expert programming 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 developing data models and designing data warehouses.
Experience building multi-step ETL jobs/data pipelines.

Apply now >