About this role.
Tremendous is hiring a Senior Data Analyst to strengthen trusted data models and semantic-layer coverage for reliable AI-powered analysis. The role partners with Product, Finance, Customer Success, and senior leaders to deliver insights and promote data-informed decisions. Core work includes advanced SQL, analytics, BI visualization, documented modeling practices, and iterative process improvement. The analyst will operate in a fully remote, high-documentation, low-meeting environment and should be comfortable evaluating AI-generated outputs. Experience with dbt, Snowflake, Sigma, Python or R, and B2B SaaS is advantageous.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
5/5Communication Load
5/5Salary analysis
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Core skills
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Sample interview questions
I would begin by defining core business metrics with clear owners, documentation, grain, lineage, and calculation logic. I would implement tested, reusable models, validate outputs against source systems and known benchmarks, and establish monitoring for freshness and anomalous changes. For AI use, I would also constrain access to governed definitions and regularly review generated outputs against validated queries.
I first clarify the decision to be made, the target audience, success criteria, and timeline. I then form a small set of testable hypotheses, identify the minimum viable data and analysis required, and share early findings to validate direction. I close by communicating the recommendation, uncertainty, key assumptions, and next actions in a concise narrative.
I inspect the query plan and data grain to identify unnecessary scans, joins, duplications, and expensive aggregations. I reduce data early, use appropriate incremental or pre-aggregated models where justified, and make joins explicit with documented keys. Finally, I reconcile the optimized output to the original result and add tests so performance improvements do not compromise correctness.
I would frame the work around the business question rather than the methodology, such as identifying the highest-impact drivers of customer retention. After quantifying the pattern and validating potential confounders, I would present the result in plain language, show expected impact and confidence, and recommend a prioritized experiment or operational change. I would define success metrics and follow up on results after implementation.
I treat AI output as a draft, not a source of truth. I verify metric definitions, filters, join logic, date handling, and data grain, then run the query against governed models and compare results with trusted benchmarks. I also check whether the conclusion overstates causality or omits limitations before sharing it with stakeholders.
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
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.
What you’ll bring
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.
Bonus
Experience working with a B2B software product.
Experience with dbt, Sigma, and Snowflake.
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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