Senior Data Analyst, Marketing Job at Tremendous, Syracuse, NY

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  • Tremendous
  • Syracuse, NY

Job Description

Tremendous is the fast, free, flexible way to send bulk payouts to people in over 200 countries. 10,000+ 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, UX 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 2,000 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 the next international offsite!

About the role

We are hiring an experienced data analyst to partner closely with the marketing team, with a focus on attribution.

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 marketing-focused insights and lead new data-driven initiatives.

In this role, you’ll get to

  • Apply various analytics methods to gain insights into all aspects of marketing, including multi-touch attribution modeling, predictive lead scoring, paid media ROI analytics (MMM and iROAS) and full funnel pipeline reporting.

  • 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.

More about you

  • You have extensive experience with B2B marketing analytics, including paid acquisition and attribution, and you are familiar with 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., 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 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

  • 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, equity and benefits. The base salary for this role is $160,000 - $210,000.

  • We're a remote company. Work from wherever you want in the Americas — we have collaboration hours from around 12-3 PM Eastern time.

  • Smart people and a great culture. See our company handbook .

Job Tags

Remote job, Full time, Temporary work, Flexible hours,

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