Marketing Data and Analytics Lead

The Marketing Data and Analytics Lead at Freed is responsible for developing and executing our marketing analytics strategy. This includes overseeing the integration of various marketing data sources, ensuring quality and accuracy of data, and establishing KPIs to measure campaign success. You will conduct in-depth analyses of campaign performance and provide insights that help shape future growth strategies, ensuring that data-driven decision-making is at the forefront of all marketing efforts.

To be considered for the Marketing Data and Analytics Lead role at Freed, candidates should hold a Bachelor's degree in Marketing, Data Science, Statistics, or Business Analytics, with a Master’s degree being a plus. We also look for individuals with over 5 years of experience in marketing data analytics, preferably in fast-paced environments, as well as strong analytical skills and proficiency in tools like Google Analytics, SQL, and data visualization platforms.

The Marketing Data and Analytics Lead plays a crucial role in driving Freed's growth by utilizing data insights to optimize customer acquisition, retention, and engagement strategies. By assessing the performance of marketing campaigns and recommending actionable changes, the lead will directly influence the effectiveness of both current and future marketing initiatives, ultimately enhancing Freed’s market reach.

As the Marketing Data and Analytics Lead at Freed, proficiency in advanced data analysis tools such as Google Analytics, Looker, SQL, and programming languages like R or Python is essential. Additionally, experience with data visualization and reporting tools like Google Data Studio or Power BI will be crucial for effectively communicating insights to stakeholders and optimizing marketing efforts.

Freed offers a collaborative, asynchronous, and remote-first environment that supports productivity and flexibility. As a Marketing Data and Analytics Lead, you will work alongside passionate colleagues committed to using data to improve clinician experiences, while also enjoying the benefits of competitive salary, equity, and unlimited PTO.

When answering this question, provide a specific example of a marketing analytics strategy you developed and how it impacted campaign performance. Highlight the steps you took, the data sources you integrated, and the results achieved, demonstrating your ability to lead and innovate.

Discuss the methods and tools you utilize to verify data integrity, such as regular audits or the use of automated data validation processes. Emphasize the importance of accurate data in making informed marketing decisions.

Identify key performance indicators (KPIs) relevant to the marketing field, such as customer acquisition cost, conversion rates, or return on investment. Justify your choices with examples of how these metrics drive decisions within marketing strategies.

Outline a specific campaign, detailing the metrics you analyzed and the insights gained that led to improvements. Discuss what changes you proposed based on your findings and the positive impact those changes had on the campaign results.

Explain your process for determining what data to include in dashboards, focusing on how you align metrics with business goals. Discuss the tools you use and how you tailor dashboards for different stakeholders.

Share your experiences with predictive modeling techniques and how you've applied them in marketing scenarios. Provide examples of how you've used modeling to forecast customer behavior or campaign outcomes.

Discuss the resources you utilize to keep up with the latest trends in marketing analytics, such as industry blogs, webinars, or networking with professionals. Highlight any certifications or training you've pursued to enhance your skills.

Talk about your approach to simplifying data insights and how you tailor your presentations to the audience. Use an example where you successfully communicated complex concepts in a clear and actionable manner, highlighting the positive outcome.

Discuss a specific challenge you encountered, the steps you took to address it, and the outcome. Emphasize your problem-solving skills and how you ensure cohesive integration of disparate data sources.

Explain your method for prioritizing tasks, such as using a scoring system based on impact and urgency. Share an example of how you successfully managed multiple projects simultaneously while delivering results.