Tremendous

Senior Data Analyst

LATAM full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Finance Human Resources MySQL Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Analyst role.
  2. How would you approach your first 30 days at Tremendous?
  3. Which of Data Analysis, Finance and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Finance and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Analyst role because I can bring practical experience in Data Analysis, Finance and Human Resources, learn the team quickly, and contribute to the outcomes Tremendous needs from this hire.

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