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Senior Data Analyst, Marketing

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 Data Build Tool (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.

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Average salary estimate

$185000 / YEARLY (est.)
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$160000K
$210000K

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What You Should Know About Senior Data Analyst, Marketing, Tremendous

Join Tremendous as a Senior Data Analyst for Marketing, where your expertise in B2B marketing analytics will make a meaningful impact! Based in New York but fully remote, you'll be part of a forward-thinking company that prioritizes efficiency and employee satisfaction. At Tremendous, we've created a culture that minimizes meetings and maximizes productivity, making it easier for you to juggle your professional and personal life. In this role, you'll collaborate with our dynamic marketing team and the larger data team to uncover key insights through multi-touch attribution modeling, predictive lead scoring, and paid media analyses. Your ability to turn complex data into compelling narratives will be crucial as you advocate for data-informed decision-making that drives growth. Plus, you’ll have opportunities to mentor team members, standardize processes, and contribute to our innovative practices. If you're excited about using your SQL skills and business intelligence tools to illuminate data-driven strategies, this is your chance to shine. Enjoy competitive pay, equity, and the flexibility of working from anywhere in the Americas. Come help us shape the future at Tremendous!

Frequently Asked Questions (FAQs) for Senior Data Analyst, Marketing Role at Tremendous
What are the responsibilities of a Senior Data Analyst at Tremendous?

As a Senior Data Analyst at Tremendous, your primary responsibilities will include applying various analytics methods to marketing data, implementing multi-touch attribution modeling, and analyzing paid media ROI. You'll collaborate with both the marketing and data teams to scale insights and lead new initiatives that drive growth.

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What qualifications are needed for the Senior Data Analyst role at Tremendous?

Candidates for the Senior Data Analyst position at Tremendous should have extensive experience in B2B marketing analytics. Proficiency in SQL, familiarity with business intelligence tools like Tableau or Looker, and strong communication skills are essential qualifications.

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What tools and technologies should a Senior Data Analyst at Tremendous be familiar with?

A successful Senior Data Analyst at Tremendous should have experience with various analytics tools, including Segment, Amplitude, and Hubspot. Familiarity with Data Build Tool (DBT), Fivetran, or Python/R is a bonus that can enhance your contributions to the role.

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How does Tremendous promote a data-informed culture?

At Tremendous, we value data as a first-class citizen, meaning that insights are integral to our decision-making processes. As a Senior Data Analyst, you will partner with key stakeholders and senior leaders to promote and advocate for data-informed decisions that align with our business goals.

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What are the growth opportunities for a Senior Data Analyst at Tremendous?

Tremendous is a rapidly growing and profitable company, offering significant opportunities for career growth. As a Senior Data Analyst, you will contribute to innovative practices and gain valuable experience working on a variety of impactful projects, all under a flexible remote work structure.

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Common Interview Questions for Senior Data Analyst, Marketing
What analytics methods do you find most effective for marketing attribution?

In interviews, it's beneficial to discuss specific methodologies such as multi-touch attribution modeling or predictive lead scoring. Highlight your experience with these methods and how they have contributed to campaign performance or strategic decisions in past roles.

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Can you explain how you handle ambiguous exploratory analysis?

When answering this question, emphasize the importance of structuring your approach, such as defining clear objectives, prioritizing data points, and iteratively refining your analysis. Providing real-world examples will strengthen your response.

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How do you prioritize multiple competing projects?

Demonstrate your ability to assess project impact and urgency when prioritizing tasks. Discuss any frameworks you utilize, like the Eisenhower matrix or project scoring systems, to make data-driven decisions about where to focus your time and resources.

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What experience do you have with business intelligence tools?

Provide examples of how you've used tools like Tableau or Looker to visualize data. Discuss specific projects where your visualizations led to actionable insights or decisions that influenced business outcomes.

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Describe a time you turned complex data into a compelling narrative.

Share a specific instance where you synthesized complex data findings into an easily digestible format for stakeholders. Focus on the impact this narrative had on decision-making or project direction.

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What strategies do you use to ensure data quality?

Discuss methods you employ to maintain data quality, such as regular data cleaning processes, validation checks, and developing well-architected data models. Emphasize your commitment to accuracy and reliability in your analyses.

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How do you advocate for data-informed decisions within a team?

Explain your approach to fostering a data-driven culture by sharing insights, conducting training sessions, or collaborating closely with team members and stakeholders. Discuss any successful initiatives you've led that encouraged data usage.

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In what ways can predictive modeling benefit marketing efforts?

Discuss how predictive modeling can enhance lead scoring, optimize budget allocation, or forecast campaign performance. Providing specific examples of successful marketing strategies strengthened by predictive analytics will illustrate your expertise.

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What experience do you have with SQL and data querying?

Highlight your SQL skills by describing the complexity of queries you've written and the data challenges you've solved through querying. Mention any performance optimizations you've implemented to improve efficiency.

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How do you approach collaboration with non-technical team members?

Emphasize the importance of clear communication and patience when collaborating with non-technical stakeholders. Provide examples of how you've successfully translated data insights into actionable recommendations that everyone could understand.

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Full-time, remote
DATE POSTED
December 13, 2024

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