Director of Data & Analytics

To be considered for the Director of Data & Analytics role at Blue Wheel, candidates should possess over 10 years of experience in digital marketing analytics, data science, or marketing technology leadership, ideally within a media agency or consulting setting. Familiarity with analytical tools such as GA4, Power BI, and SQL, along with strong communication skills to present insights effectively, is essential for this position.

In the Director of Data & Analytics position at Blue Wheel, you will lead the data strategy and manage a team focused on transforming complex data into actionable insights. You’ll design measurement frameworks, implement advanced analytical platforms, and deliver recommendations to enhance media and creative performance for both clients and the agency, thereby significantly impacting business growth.

Team leadership is a critical component of the Director of Data & Analytics role at Blue Wheel. You’ll be responsible for hiring, mentoring, and developing a team of analysts and data professionals. Creating a culture that encourages curiosity and innovation will empower your team to excel and drive analytics into everyday operations within the agency.

As the Director of Data & Analytics at Blue Wheel, you will work with various advanced analytics platforms, such as Power BI, Tableau, and BigQuery. Familiarity with tracking technologies such as Google Tag Manager (GTM) and a strong command over SQL will enable you to deliver complex data analyses and insights that drive strategic decision-making for clients.

At Blue Wheel, the Director of Data & Analytics position offers significant opportunities for career growth. You'll lead high-impact projects that shape the future of digital commerce while advocating for data-driven strategies. Your success in this role will position you as a key player within the agency, paving the way for advanced leadership roles in a growing environment.

When answering this question, highlight your proficiency with tools like GA4, Power BI, and SQL, explaining specific projects where you've successfully applied these tools to derive insights and improve campaign performance. Emphasize your analytical thinking and how often you stayed updated with industry trends to harness new technologies effectively.

Discuss your leadership experience by sharing examples of how you've built teams, mentored individuals, and cultivated a culture of curiosity and innovation. Mention specific strategies like regular training sessions and fostering open communication to encourage team members to contribute ideas.

Here, tell a compelling story about a project where you successfully analyzed data, crafted insights, and presented them to a client. Focus on the impact of your recommendations and how they led to measurable improvements in performance, reinforcing your ability to influence client success through data.

Explain your methodology for creating measurement frameworks and attribution models, emphasizing your understanding of various models and frameworks available. Discuss your experience in customizing models to suit different client needs and objectives, ensuring clear visibility into performance metrics.

Mention the resources you utilize, such as industry publications, online courses, webinars, and networking events. Highlight your commitment to continuous learning and how you apply new insights to optimize strategies for both clients and the agency.

Demonstrate your analytical skills by explaining your experience with A/B testing, multi-touch attribution, and optimization strategies. Provide examples of successful campaigns where you implemented these strategies, detailing the results achieved.

Share your definition of strategic thinking and how it applies to analyzing data. Provide instances where your strategic mindset led to innovative solutions that elevated campaign performance or drove revenue growth.

Address the importance of understanding your audience and how you tailor your communication to suit different stakeholders. Discuss your approach to storytelling through data and how you ensure clarity and engagement during your presentations.

Describe your practices around data governance, including maintaining data integrity and accuracy. Give examples of any frameworks you've used to ensure high-quality analytics delivery for clients.

Discuss key performance indicators (KPIs) you set for your team, such as project completion rates, accuracy of reporting, and ability to meet business objectives. Highlight how continuous feedback and development are integral to your team's success.