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Why this grade This listing scored 54/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$93k – $130k
That is the middle half of what comparable roles paid on this board over the last 90 days — 21 listings that did publish a figure, median $107k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Full-Time Senior Data Science & Analytics
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.
What you'll do
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Contribute to trusted, reliable data models and semantic layer coverage that make AI-generated analyses more accurate.
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Apply various analytics methods to gain insights into critical aspects of our business.
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Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.
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Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
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Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, and fostering new expertise.
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Join a growing data team and actively contribute to team collaboration and culture.
What you'll bring
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You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.
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You are proficient with at least one visualization & business intelligence platform (e.g., Sigma, Tableau, Looker, Mode).
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Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.
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You're comfortable working alongside AI tools and thinking critically about AI-generated output.
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You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.
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You employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.
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You use excellent judgment and sharp business and product instincts that allow you to prioritize.
Bonus
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Experience working with a B2B software product.
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Experience with dbt, Sigma, and Snowflake.
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Experience in Python or R.
What's cool about the role
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Competitive pay and equity. Base salary for this role: $175k to $225k.
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Real benefits. 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.
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Fully remote. Work from anywhere in the Americas.
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Great culture. Read more about how we work in our public handbook.
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Where this listing came from
- 09 Sep 2026 Jobicy first sighting
Seen on 1 board over 0 days.