About Donorbox
Donorbox is a leading fundraising platform and donor management system for nonprofit organizations. Our mission is to accelerate positive impact worldwide by helping nonprofits become highly effective at raising funds and managing their supporter base. Since 2014, we have powered more than 80,000 global organizations to raise over $2B in donations from over 10 million donors.
Our fast-growing company is profitable and bootstrapped with a healthy run rate. We have a fully distributed and diverse team that is fully remote, with 120+ team members in 16+ states and 23+ countries.
In 2023, Donorbox achieved the Leader status in Nonprofit and was recognized for Best Functionality & Features in Fundraising by GetApp. We're proud of what we do, and our product reflects it!
The Role
Donorbox is seeking a Senior Data Analyst to play a pivotal role in providing strategic insights and analytical support across marketing, operations, and business intelligence functions, enabling us to drive global philanthropy forward.
As a Senior Data Analyst, you will be at the forefront of transforming raw data into actionable insights that will help guide the development and improvement of our products. This role isn't for the faint-hearted or those seeking a conventional large corporate structure - we operate on the principles of agile, high trust, and high impact. It's all about getting things done quickly and efficiently, while continuously learning and adapting to changes in a dynamic environment.
Our product is designed to empower philanthropic organizations. Consequently, the work you do will not only create value for our company but also contribute to the global philanthropic ecosystem. To thrive here, you need to be dedicated to your craft and committed to constant development. You should be an independent thinker who can solve complex problems and handle a bit of chaos without breaking a sweat.
Collaboration is key, as you will partner with teams across Marketing, Product, Engineering, Operations and beyond, leveraging data to drive informed decision-making and achieve our collective product and business goals.
Responsibilities
- Proactively identify and champion projects that solve complex problems in important business areas.
- Partner closely with marketing, product, engineering, and other business leaders to construct forecasts, recommendations and strategic/tactical plans based on our data and market knowledge
- Holistically own general problems in those product/business domains and understand how those problems/domains interact with the rest of Donorbox.
- Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
- Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when appropriate) to inform improvements to our business
- Design and implement end-to-end data pipelines: work closely with stakeholders, especially data engineering, to determine workflow and define models, tables or schemas that support business processes
- Influence leadership to use a data-driven approach for informed decisions
- Define and advance best practices for data analytics and data science
Qualifications & Experience
- Bachelor's degree in Business, Finance, Accounting, Statistics, Data Science or related field and 4 years experience in data analytics or related field
- Deep understanding of Advanced SQL techniques and data modeling
- In-depth knowledge of visualization tools, data modeling, data transformation, and data visualization
- Experience in marketing analytics with design experiments, developing statistical models, measuring campaigns, and identifying optimization opportunities, or using data and analytics in technology or SaaS
- Experience in data science, building robust data pipelines and solving high impact business problems
- Masterful data storytelling and strategic thinking, with an ability to inspire and cultivate the Data culture across our company
- Well versed with various Business Intelligence platforms and tools
- Experience working with various levels of business stakeholders, from c-suite to engineering and product development teams.
- Working on multiple work streams excites you, and you are able to use ambiguity as an opportunity for high-level thinking
- Experience creating data product strategies, building data products, and continued iteration after launch
Bonus
- R / Python a plus
- Experience launching productionized machine learning models is a plus
- Extensive domain experience in sales & marketing or SaaS is a plus
Details
- Fully remote based in India (or similar time zone)
- Salary: $45k-$65k USD
Benefits & Perks
- Fully remote work from the comfort of your home
- Eligibility for employee equity plan (stock options)
- Reimbursement package for home office expenses, up to $1.5k
- Health insurance premium reimbursements, up to 75% for you and your family
- Generous time off policy of 21 days (birthday included ), 8 holidays of your choice, and 2 paid volunteer days
- Wellness program with fitness and mindfulness classes
- Culture of fewer meetings and async communication
- Love your work and our mission of serving nonprofits!
The Application Process
We have 5 stages:
- Apply here and fill out our questions to tell us about you!
- Prescreen Call with Talent Acquisition Associate
- Interview with Hiring Manager
- Interview with Chief of Staff
- Interview with CEO
If this sounds like the right role for you, please apply today and let us know why. We look forward to hearing from you!
