Senior Growth Marketing Analyst

Full Time • Atlanta, GA, United States of America

145,000 - 165,000 (Yearly) Added 2 hours, 54 minutes ago

Summary

LOCATION

Atlanta (Remote Friendly)

QUALIFICATIONS

5+ years of marketing/analytics/business intelligence experience, BA/BS degree in a quantitative field, solid experience with analytics tools, familiarity with CPA/CAC, and extensive hands-on experience with SQL.

RESPONSIBILITIES

Conduct analysis on growth marketing data, provide recommendations for MTA system, design experiments for optimization, coordinate onboarding of new data sources, and communicate performance insights with the marketing team and executives.

INDUSTRY

Fintech / Family Banking

SHORT DESCRIPTION

Join Greenlight as a Senior Growth Marketing Analyst to support marketing growth by analyzing data, optimizing spend efficiency, and collaborating with teams to enhance financial literacy in children.

Atlanta (Remote Friendly)

Data /

Full Time /

Remote

Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest.

At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.

We are looking for a Senior Growth Marketing Analyst to join our Analytics team to support growth marketing. This individual will have a leadership role in understanding the impact of our marketing spend and ensuring it is allocated effectively across programs, by running experiments, developing and communicating insights with the marketing team and executives, and informing our advertising investments.

In this role, you will be working alongside both the Growth Marketing and Data teams. This role reports to the Director of Data Science and Insights.

Your day-to-day:

Conduct analysis on growth marketing data sets to develop insights, troubleshoot issues, and identify opportunities to improve CAC and Payback efficiency.
Self-service data, including using SQL to conduct analysis and creating data visualizations in Tableau and Mixpanel.
Operate our MTA (multi-touch attribution) system, providing recommendations for channel managers to optimize campaigns across TV, social, audio, search, display and more.
Design experiments across many marketing channels to guide optimization decisions and use as inputs to calibrate MTA & MMM (media mix modeling).
Coordinate the onboarding of new data sources from vendors and providing intent for integrating the data into our existing data models.
Collaborate with our brand and growth team to test and develop insights on new creative and messaging.
Communicate marketing performance and insights to the marketing team and executives.

What you’ll bring to the team:

5+ years of marketing / analytics / business intelligence experience, working with and across large datasets, delivering insights and data visualizations to business stakeholders.
A BA/BS degree in Mathematics/Statistics/Business/Economics or other quantitative field, or equivalent experience in the field.
Solid experience in leveraging analytics tools to make data-driven decisions and improve growth performance, demonstrating a keen ability to optimize spend and maximize ROI.
Experience with metrics-driven performance marketing, including A/B testing, web & app event tracking, and leveraging attribution & CRM systems.
Deep familiarity with CPA/CAC, CPC, CVR, and LTV, and how one influences another.
Exceptional mathematical skills, applying a critical eye to the approach in understanding our data. You aren’t fooled by randomness or regressions to the mean, and recognize assumptions that need to be explicitly controlled for.
Extensive hands-on experience with SQL, with advanced skills that allow you to easily extract data from multiple data sources for analysis and visualizationKnowledge and familiarity with Python to manipulate and tweak data science models.
Experience in machine learning, and statistical and predictive modeling using is a plus.

Work perks at Greenlight:

Medical, dental, vision, and HSA match
Paid life insurance, AD&D, and disability benefits
Traditional 401k with company match and Roth IRA
Unlimited PTO
Paid company holidays and pop-up bonus holidays
Wellness & professional development stipends
Mental health resources
1:1 financial planners
Fertility healthcare
100% paid parental and caregiving leave, plus cleaning service and meals during your leave
Flexible WFH, both remote and in-office opportunities
Fully stocked kitchen, catered lunches, and occasional in-office happy hours
Employee resource groups

Our stance on salaries:

Greenlight provides a competitive compensation package with a market-based approach to pay and will vary depending on your location, experience and skill set. The total compensation package for this position will also include a discretionary performance bonus, equity rewards, medical benefits, 401K match, and more. Greenlight conducts continuous compensation evaluations across departments and geographies to ensure we are keeping our pay current and competitive.

The estimated base pay range for this position in (NY, CA, WA): $145,000-165,000

The estimated base pay range for this position in (CO): $145,000-155,000

Who we are:

It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help parents raise a financially smart generation, apply to join our team.

Greenlight is an equal opportunity employer and will not discriminate against any employee or applicant based on age, race, color, national origin, gender, gender identity or expression, sexual orientation, religion, physical or mental disability, medical condition (including pregnancy, childbirth, or a medical condition related to pregnancy or childbirth), genetic information, marital status, veteran status, or any other characteristic protected by federal, state or local law.

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