Senior Data Analyst (GTM)

About this role.

Tremendous is seeking a senior data analyst to drive go-to-market analytics across Sales, RevOps, Marketing, and Customer Success. The role connects acquisition, conversion, attribution, and retention data to generate actionable revenue-funnel insights and influence senior stakeholders. It requires advanced SQL, strong BI visualization capability, and experience with B2B GTM systems such as CRM, product analytics, and data-transformation tooling. The analyst will also improve data-team practices, mentor peers, and operate effectively in a fully remote, documentation-focused environment. Forecasting, predictive modeling, Python or R, and tools including Segment, Amplitude, HubSpot, dbt, Fivetran, or Census are valued additions.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5### Pace & Pressure

4/5### Autonomy Level

5/5### Communication Load

5/5AI insightThis is a senior, cross-functional analytics role requiring both technical depth and commercial judgment across the entire GTM funnel. Success depends on translating ambiguous business questions into reliable data products and persuasive recommendations for leadership.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

$200,000

$160k–$230k

AI insightThe disclosed annual base-salary range is $175,000 to $225,000 USD, producing a midpoint of $200,000. This sits competitively within the estimated US market range of $160,000 to $230,000 for senior GTM or revenue analytics professionals at remote technology companies; equity may be additional.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions

How would you diagnose a decline in conversion from qualified opportunities to closed-won revenue?

I would first validate the funnel definitions and data freshness, then segment performance by source, segment, sales team, deal size, product, geography, and cohort. I would identify where the change began, compare affected cohorts with historical baselines, and combine quantitative findings with feedback from sales and RevOps before recommending prioritized experiments or process changes.

Describe how you would design a GTM attribution model for a B2B company with multiple touchpoints.

I would begin by aligning stakeholders on the decision the model must support, such as budget allocation or pipeline-source reporting. I would standardize identity resolution and campaign taxonomy, define eligible touchpoints and conversion events, then evaluate first-touch, last-touch, multi-touch, and incrementality-informed approaches. I would document limitations clearly and build a model that is understandable enough for consistent operational use.

What practices do you use to ensure sophisticated SQL analysis remains reliable and maintainable?

I use well-defined source models, reusable transformations, clear naming conventions, comments for non-obvious logic, and tests for important assumptions such as uniqueness, referential integrity, and accepted values. I also review query performance, avoid duplicating business logic across dashboards, and publish metric definitions so stakeholders interpret results consistently.

Tell us about a time you influenced a business decision through analysis when stakeholders initially had a different view.

In a strong example, I would frame the stakeholder's original hypothesis respectfully, show the underlying data and methodology, and explain uncertainty rather than overstate conclusions. I would connect the insight to the operational decision, propose a low-risk test where possible, and measure the result afterward. This approach builds trust because it makes analysis actionable rather than merely corrective.

How do you manage an ambiguous analytics request from a senior leader?

I clarify the decision to be made, the target outcome, the relevant timeframe, and what action would change depending on the answer. I quickly assess available data and provide an initial MVP analysis, while explicitly documenting assumptions and gaps. I then iterate with the stakeholder, expanding the work only when it improves the decision quality.

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.

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