Growth Marketing & Data Analytics Manager

As a Growth Marketing & Data Analytics Manager at Range, you will be responsible for driving our marketing strategy and execution across various paid and organic channels. This includes optimizing campaigns on platforms like Meta and Google, analyzing the performance of SEO initiatives, and leveraging data insights to fine-tune audience targeting. Additionally, you'll build and maintain data pipelines, create reporting dashboards, and perform in-depth analysis of campaign performance to enhance our marketing efforts.

The ideal candidate for the Growth Marketing & Data Analytics Manager role at Range should have 5-7 years of experience in marketing analytics, with a strong emphasis on paid media performance. Strong expertise in SQL and Python is essential for managing complex datasets. A deep understanding of paid acquisition channels and the ability to translate data insights into actionable strategies are key qualifications for this position.

At Range, we believe in teamwork and collaboration. As a Growth Marketing & Data Analytics Manager, you will work closely with various teams, including performance marketing, content, and engineering, to optimize marketing campaigns, analyze SEO efforts, and enhance data collection processes. This collaborative environment, combined with access to cutting-edge technology, empowers you to achieve your goals effectively.

Key skills that will set you apart in the Growth Marketing & Data Analytics Manager role at Range include a strong analytical mindset, expertise in SQL and Python, and excellent communication skills to convey technical insights. Familiarity with HTML and experience with BI tools such as Metabase can also enhance your profile, making you a valuable asset in our dynamic marketing environment.

Range offers a comprehensive benefits package for its Growth Marketing & Data Analytics Manager, including medical, dental, and vision coverage, a 401k plan, a technology allowance, paid time off, and top-of-market pay. We also provide a supportive work environment with paid parental leave and opportunities for in-person team events.

In answering this question, emphasize your background in marketing analytics, detailing specific tools and methodologies you've used. Discuss how you've leveraged data to drive marketing strategy and optimize campaigns, showcasing your ability to make data-driven decisions effectively.

To respond to this question effectively, share your structured approach to campaign optimization. Discuss your experience with A/B testing, analyzing performance metrics, and collaborating with cross-functional teams to implement changes that improve results.

When discussing this question, highlight your familiarity with various data tools and technologies. Mention specific platforms you've used for data collection and automation, and explain how you've ensured data integrity and accessibility in your previous roles.

For this question, provide concrete examples of how you've used SQL for data extraction and analysis. Discuss specific projects or tasks where you wrote complex queries and how it influenced marketing decisions or outcomes.

In answering this, share a specific example showcasing your communication skills. Discuss how you simplified complex data points, tailored your presentation to the audience, and ensured the insights were actionable for your stakeholders.

Describe your ongoing commitment to professional development. Mention specific resources, such as blogs, webinars, and industry conferences, that you follow to stay informed about the latest trends and innovations in marketing analytics.

When addressing this question, discuss your familiarity with methodologies like A/B testing and multivariate testing. Explain how you measure performance and what key metrics you focus on to assess campaign success.

To answer this, share your strategies for prioritization and time management. Discuss any tools or frameworks you use to stay organized and how you ensure quality remains high, even under deadline pressure.

When responding, identify key metrics such as ROI, customer acquisition cost, conversion rates, and engagement metrics. Explain why you consider them essential and how they relate to overall marketing effectiveness.

In your response, detail how you use demographic and contextual data to identify and target high-value audiences. Discuss any tools or strategies you've implemented to refine your targeting efforts successfully.