Analytics Engineer

  • New York City, NY (Hybrid)

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Charitybuzz is looking for a hands-on Analytics Engineer to help transform how they collect, connect, and leverage data across the business. This role follows a hybrid schedule, requiring onsite presence three days a week at our vibrant New York City office.

If you’re equal parts builder, translator, and problem solver. You thrive in environments where scrappy meets strategic, and you love tackling the hard problems that unlock clarity, then we want you to APPLY

 We Offer:

  • Compensation: $125,000 – $165,000/year (commensurate with experience)
  • Health & Wellness: Medical/Dental/Vision/Life Insurance, Disability: Employer-paid short- and long-term coverage 
  • Spending Accounts & Commuter Benefits: Flexible Spending Accounts (health and dependent care), Health Savings Account (HSA), Commuter reimbursement accounts
  • Additional benefits: AFLAC supplemental coverage (accident, hospital, cancer care), 401(k) with Safe Harbor Employer Match, Generous Paid Time Off, Employee Assistance Program for personal and professional support, Kudos recognition platform for celebrating great work

Why Charitybuzz?

  • Impactful work: Your insights will directly shape strategy, operations, and how we deliver value to partners and bidders.
  • Startup energy, established foundation: Be part of a business with history, brand credibility, and an exciting growth trajectory.
  • Builder culture: We value creative problem-solving, open-mindedness, and people who roll up their sleeves.
  • Mission-driven: Every auction supports meaningful causes worldwide — your work powers real impact.

Shift hours/schedules:

  • Hybrid schedule
  • Office onsite days: Tuesday-Thursday
  • Hours: 9am-5pm

Job Responsibilities:

  • Design and build dashboards that make business-critical insights visible and actionable, including: Core business metrics, Partner health scores and churn-risk signals, Performance trends across verticals, buyers, and donors
  • Integrate and connect systems into a central data repository, leveraging our existing tools while recommending better practices where needed.
  • Write and optimize SQL queries to transform data across sources.
  • Work cross-functionally with Sales, Finance, Operations, and Leadership to understand goals and translate them into usable reporting.
  • Shape the data roadmap by identifying gaps, inefficiencies, and high-value opportunities for improvement.
  • Develop scalable ETL pipelines and processes to unify data across platforms like Salesforce, NetSuite, Tableau, Klaviyo, and Redshift.
  • Guide recommendations on data architecture and future tooling decisions.
  • Build the foundation for a data-driven culture, helping the business evolve from “gut-based” to “metrics-powered” decision-making.
  • Position yourself as the go-to person for analytics and insights while setting the stage for potential leadership as the function grows.

Minimum Requirements:

  • 3–6 years of relevant experience in analytics engineering, business intelligence, or data engineering.
  • Advanced proficiency in SQL and comfort working with data warehouses (e.g. Redshift, Snowflake, BigQuery).
  • Experience with ETL tools like Integrate.io (or similar platforms) and building or maintaining data pipelines.
  • Proficiency in Tableau (or other BI tools) for designing intuitive, impactful dashboards.
  • Familiarity with Salesforce, NetSuite, Klaviyo, or similar SaaS tools preferred.
  • Familiarity with iPaaS tools highly desirable.
  • Bonus: Exposure to dbt or modern analytics engineering practices.

About Charitybuzz:

Charitybuzz is the leading impact marketplace, offering extraordinary experiences and exclusive items to benefit incredible causes. We work with partners, donors, and bidders to unlock unforgettable opportunities while driving measurable impact for nonprofits around the globe.

As we continue to modernize our systems and grow our capabilities, we’re building a foundation that makes data-driven decision-making central to our business strategy. That’s where you come in.