Marketing Analytics Specialist

As a Marketing Analytics Specialist at Happy Money, you will focus on evaluating the impact of demand generation efforts and marketing campaigns. This involves measuring the performance of the entire marketing funnel, producing insightful reports, and performing advanced data analyses to optimize marketing performance. You'll support various marketing channels, conduct A/B testing, and create customer segmentation strategies to enhance overall marketing efficiency.

Happy Money looks for candidates with a Master's degree in a STEM or related field. Additionally, you should have at least one year of experience in data and business analytics within the consumer lending industry. Proficiency in building Machine Learning models, a solid understanding of credit risk principles, and coding skills in Python, MySQL, or RStudio are also crucial for this role.

Happy Money operates with a fully distributed workforce, giving you the flexibility to work remotely. The company fosters a team-oriented culture where collaboration is key, allowing you to engage with various teams across the organization. You can expect a dynamic and fast-paced environment that encourages proactive contributions and innovative thinking.

Happy Money provides a comprehensive benefits package for its employees, including generous medical, dental, and vision insurance options. You will also enjoy flexible PTO, monthly health and wellness days, a 401k plan with matching contributions, and 12 weeks of paid parental leave. Additionally, the company offers a monthly tech stipend to support your remote work setup.

At Happy Money, diversity and inclusion are central to the company's mission. They are an equal opportunity employer and actively strive to create a workplace that is welcoming to individuals of all backgrounds. The hiring process is designed to eliminate bias, ensuring that candidates are evaluated based on their qualifications and fit for the company culture.

Certainly! When answering this question, highlight specific projects where you used data analytics to drive marketing decisions. Discuss the tools you utilized, the outcomes of your analyses, and how your insights contributed to campaign performance. Be prepared to share metrics or KPIs that demonstrate your impact.

A strong answer will describe your methodical approach, from identifying the variable to test to ensuring a statistically valid sample size. Discuss how you would analyze the results and pivot strategies based on findings, emphasizing your focus on continuous improvement in campaign effectiveness.

Emphasize KPIs such as Customer Acquisition Cost (CAC), Return on Investment (ROI), and Marketing Efficiency metrics. Explain why each KPI is important and how you would track and report them to measure the success of marketing initiatives.

When answering this question, outline the specific predictive modeling techniques you have used, such as regression analysis or machine learning methods. Share an example where your predictive models helped inform business decisions or shaped marketing strategies.

Discuss the best practices you follow to ensure data accuracy, such as regular data audits, validation checks, and using reliable data sources. Illustrate your approach with examples from past experiences where ensuring data accuracy was critical to your analysis.

Mention specific tools like Tableau, Google Analytics, or any others relevant to the role. Share how you have used these tools for data visualization, reporting, or analysis, and how they added value to the projects you worked on.

Describe your approach to time management and prioritization. You might outline your use of project management tools or methodologies, and how you assess the urgency and importance of tasks to ensure timely delivery.

Provide a specific example where your insights led to a notable business outcome. Explain the context of the campaign, the analysis you performed, and how the results shaped marketing decisions or strategies.

Emphasize your understanding of channel dynamics and the importance of a cohesive strategy. Discuss how you would leverage data to provide insights that support and enhance the performance of each marketing channel.

Express your passion for both data analytics and the mission of Happy Money. Discuss how the company's focus on responsible lending aligns with your values and how you believe your skills would contribute to their goals.