jobctl

Senior Data Analyst, GTM

Tremendous - USA - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Full-time
Salary
Not stated
Categories
Data Science & Analytics
Tech
pythonremote-countrydatasenior
Source
jobicy
First observed
2026-09-02 06:13 UTC
Last seen
2026-11-03 07:42 UTC
Source claims posted
2026-11-03 03:35 UTC
Consecutive misses
0 of 10

What the posting says

Tremendous is the fast, free, flexible way to send bulk payouts to people in over 230 countries and regions. 20,000+ companies ranging from mom-and-pops to Google, MIT, and United Way have sent over $1 billion, saving 15 hours a month on average.

In both our product and our workplace, we’re intentional about making work more efficient, flexible, and fulfilling. Tremendous is a fully remote, high-documentation, low-meeting culture, which means more time for what matters in both your professional and personal life.

Our customers, who include marketers, researchers, HR teams, and nonprofits, rave about how quick and easy it is to use Tremendous — check the ratings on G2. Yet there’s a lot of complexity under the hood, including over 2,500 redemption options and plenty of banking infrastructure. This duality makes working here a fun challenge.

Tremendous is profitable and growing without outside investors. Join us before our next international offsite.

About the role

We are hiring an experienced data analyst to partner across our go-to-market teams (Sales, RevOps, Marketing, and Customer Success) and connect the full revenue funnel from acquisition through retention.

Tremendous values data as a first-class citizen and believes insights unlock significant growth. You will collaborate closely with the data team and company-wide stakeholders. As we continue to grow the business, you will scale GTM-focused insights and lead new data-driven initiatives.

What you’ll do

Apply a range of analytics methods to gain insights across our go-to-market teams (sales, RevOps, marketing, and customer success), such as conversion funnels and attribution.

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, providing mentorship, and fostering new expertise.

Join a growing team of analysts and actively contribute to team collaboration and culture.

What you’ll bring

You have extensive experience with B2B GTM analytics across some or all of marketing, sales, RevOps, and customer success, and you are familiar with the related tools.

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, 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 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 data to achieve ambitious goals and influence company-level outcomes. Experience as a technical lead or manager is a plus.

You use excellent judgment and sharp business and product instincts that allow you to prioritize.

Bonus

Experience with forecasting and predictive modeling.

Experience with operational tools and systems like Segment, Amplitude and Hubspot (or other CRM tools).

Experience with dbt, Fivetran or Census.

Experience in Python or R.

What’s cool about the role

Competitive pay and equity. Base salary for this role: $175k to $225k.

Real benefits. 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.

Fully remote. Work from anywhere in the Americas.

Great culture. Read more about how we work in our public handbook.

Quality

Completeness: 45%
Honesty: 70%

Based on 27 observation(s).

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