\nCompany Description\nGivebutter 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 blastsโall in one place. Use of the Givebutter platform is completely free with a 100% transparent tip-or-fee model. \n\n\nGivebutter has been certified as a Great Place to Workยฎ in 2021, 2022, 2023, and 2024, and is the #1 rated nonprofit software company on G2 across multiple categories.\n\n\nOur mission is to empower the changemaker in all of us. We believe giving should be fun, so youโll want to do it again, and we also believe that work should be fun, so that youโll 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 placeโand have fun along the way. \n\n\nRole Description\nGivebutter is looking for a talented and passionate Analytics Engineer to join our growing Data team. Weโre 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.\n\n\n\nWe want to hear from people whoโฆ\n* Have successfully designed and implemented a fit-for-purpose data model optimized for action-oriented analytics use cases and company-wide reporting.\n* 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.\n* Can partner with Product and Engineering to integrate data upstream and downstream across our customer engagement platforms (Hubspot, Stripe, etc.).\n* Know how to establish and enforce robust data integrity standards to ensure data is consistent, timely and accurate.\n\n\n\nResponsibilities\n* DATA MODELING\n* Gain a deep understanding of data needs and use cases, partnering with stakeholders and analysts to understand whatโs needed in the short- and medium-term.\n* 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.\n\n\n\n* PIPELINE BUILDING AND MANAGEMENT\n* Own the creation and execution of data pipelines that drive business intelligence and analytics across the company.\n* Partner with Product and Engineering in ingesting and transforming data into a reliable, usable, and scalable structure.\n* Own the companyโs data stack (we use Snowflake, dbt, Fivetran, Mozart, and Hex).\n* Consistently deploy solutions that improve the efficiency of data transforms, with a focus on speed, cost effectiveness, and stability.\n\n\n\n* DATA INTEGRATION\n* Define what needs to be tracked in our different platforms and translate these into technical requirements for Product and Engineering.\n* Drive the future roadmap of Product and Revenue teams from a data systems perspective.\n\n\n\n* DATA GOVERNANCE AND TESTING\n* Implement and ensure consistency in data, metrics definition, and terminology across all data products: data warehouse, KPIs, dashboards, reports, and self-serve.\n\n\n\nRequirements\n* Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience.\n* Expert programming and data manipulation skills using SQL and Python (or any coding language).\n* Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions.\n* Experience developing data models and designing data warehouses.\n* Experience building multi-step ETL jobs/data pipelines.\n\n\n\n\n$120,000 - $150,000 a year\n\nBenefits\nRemote Work: Work from anywhere in the United States.\nHealth Insurance: We offer Medical, Dental, and Vision insurance covered 100% for employees as well as HSA and FSA accounts.\nMental Health: Givebutter health insurance plans come with access to a TalkSpace membership.\n401k: We offer access to a retirement planning account for all employees.\nVacation and Holiday: Take up to 15 days of paid vacation time per year plus additional days per year with the company. We also take off all 10+ Federal Holidays and provide 2 floating holidays.\nParental Leave: We offer 12 weeks paid parental leave for both primary and secondary caregivers.\nHome Office Stipend: Upgrade your home office with company-sponsored expenses including high-quality laptops, monitors, and modern technology.\nCharitable Giving: Employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter.\nProfessional Development: We offer learning and development reimbursement opportunities.\nLove 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. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python and Engineer jobs that are similar:\n\n
$57,500 — $102,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nRemote
๐ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.