Tremendous

Senior Data Analyst

Tremendous New York, NY

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Tremendous provided pay range

This range is provided by Tremendous. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $190,000.00/yr
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 with our internal stakeholders.

You will primarily focus on supporting Tremendous' marketing and sales functions, and will partner with leaders across our organization to drive sustainable growth.

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.

In this role, you will

  • Apply various analytics methods to gain insights into the most critical aspects of our marketing and sales functions.
  • Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.
  • Drive revenue by collaborating with Marketing and Sales teams to enhance our understanding and management of sustainable growth.
  • Contribute to trusted, reliable data models to support self-serve analytics.
  • 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.

More About You

  • 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 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 drive marketing and sales teams to achieve ambitious goals and influence company-level outcomes.
  • You use excellent judgment and sharp business and product instincts that allow you to prioritize.

Bonus

  • Experience with marketing and/or sales analytics working with a B2B software product.
  • Experience with dbt.
  • Experience in Python or R.

What's Cool About The Role

  • You'll work at a company growing quickly yet sustainably. We’re profitable with plenty more opportunity ahead. That’s good news for your career growth.
  • Competitive pay and benefits. For this role, base salary ranges from $160,000 to $190,000.
  • We're a remote company. Work from wherever you want in the Americas.
  • Smart people and a great culture. See our company handbook.

Compensation Range: $160K - $190K

  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    Financial Services

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