Staff Marketing Data Analyst

EarnIn; United States; On-site; USD 165,000 - 245,000; Full time

Job summary

An innovative company is seeking a Staff Marketing Data Analyst to drive growth through analytics and data-driven campaigns. In this pivotal role, you will collaborate with marketing, product, and engineering teams to enhance measurement frameworks and optimize performance across various channels. With a focus on experimentation and data-backed decision-making, you'll play a crucial role in shaping marketing strategies that resonate with consumers. This is an exciting opportunity to join a fast-growing team dedicated to transforming financial flexibility for everyday people, while enjoying competitive compensation and equity options.

Qualifications

• 6+ years experience in marketing analytics/data science in a B2C role.
• Strong understanding of marketing attribution, MMM, LTV/CAC, and ROAS.

Responsibilities

• Drive day-to-day performance analysis & provide strategic recommendations.
• Establish measurement frameworks and drive reporting excellence.

Skills

Marketing Analytics

Data Science

SQL

Python

Experimentation

Attribution Models

Performance Marketing

Education

Bachelor's Degree in Analytical Discipline

Master's Degree or PhD

Job description

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Join to apply for the Staff Marketing Data Analyst role at EarnIn

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As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

Position Summary

Join us in a high-impact role to drive growth at EarnIn. This function plays a critical role in how we use analytics to inform our business & marketing priorities, drive data-backed campaigns, deliver value across the consumer lifecycle and measure performance for future optimizations. You will work closely with our marketing (i.e. brand, growth, product marketing, LCM), product, and engineering teams to establish end-to-end funnel measurement & reporting, rigorous testing methodologies, and deployment of critical analytics tools.

The US base salary range for this full-time position is$165,000 - $245,000 + equity + benefits. Our salary ranges are determined by role, level, and location.

What You’ll Do:

• Work closely with the marketing team to drive efficient growth for EarnIn through analysis, experimentation, and operational rigor
• Drive day-to-day performance analysis & provide both strategic and tactical recommendations across the marketing funnel
• Establish measurement frameworks and drive reporting excellence across various marketing domains (e.g. performance, brand, full-funnel marketing)
• Continuously upgrade and evolve our marketing measurement methodology (attribution, MMM, and experimentation)
• Partner with marketing leads to identify, design, and execute on experimentation opportunities across new & existing marketing channels and campaigns. Establish a culture of experimentation excellence across the marketing team
• Monitor & proactively surface/troubleshoot any problems across the marketing funnel & drive resolution of these issues

What We’re Looking For:

• 6+ years experience in marketing analytics/data science in a B2C role
• Strong understanding of marketing attribution, MMM, LTV/CAC, and ROAS
• Deep understanding of performance & measurement across key digital channels – e.g. Social, Search, Web, Television, App, etc.
• Experience designing, running, and interpreting experiments. Practical knowledge of testing methodologies and frameworks
• Expert experience with SQL and experience with Python or R
• Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey
• Strong interpersonal skills and can work cross-functionally in team environments
• Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations
• Bachelor's, Master’s or PhD degree in an analytical discipline or equivalent industry experience
• Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders
• Prior experience managing performance marketing channels is a bonus
• Experience with full-funnel marketing/brand measurement is a bonus
• Experience in applied econometrics, forecasting, building regression models is a bonus
• Experience in Fintech is a bonus

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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