Senior Data Analyst

Tremendous•New York, NY

1d•$175,000 - $225,000•Remote

About The Position

Tremendous is the global platform built for businesses to send thousands of payouts to anyone, anywhere, for free. We're trusted by 20,000 organizations like Atlassian, MIT, and United Way to deliver gift cards and money to millions of recipients worldwide. Our customers (researchers, marketers, HR teams, nonprofits, and platform businesses) rave about how fast and easy Tremendous is to use. Check out our ratings on G2. Tremendous is profitable and growing without outside investors. We're a fully remote, high-documentation, low-meeting culture, which means more time for what matters in both your professional and personal life. The team agrees– our employee NPS is in the high 80s. About the role We are hiring an experienced data analyst to partner with our internal stakeholders and help build the foundations that make AI-powered data access reliable. You will support multiple business areas (including Product, Finance, and Customer Success) and contribute significantly to the semantic layer and our data model. Tremendous values data as a first-class citizen and believes insights unlock significant growth. You will be an integral part of the data team and collaborate closely with company-wide stakeholders.

Requirements

You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.
You are proficient with at least one visualization & business intelligence platform (e.g., Sigma, Tableau, Looker, Mode).
Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.
You're comfortable working alongside AI tools and thinking critically about AI-generated output.
You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.
You employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.
You use excellent judgment and sharp business and product instincts that allow you to prioritize.

Nice To Haves

Experience working with a B2B software product.
Experience with dbt, Sigma, and Snowflake.
Experience in Python or R.

Responsibilities

Contribute to trusted, reliable data models and semantic layer coverage that make AI-generated analyses more accurate.
Apply various analytics methods to gain insights into critical aspects of our business.
Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.
Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, and fostering new expertise.
Join a growing data team and actively contribute to team collaboration and culture.