Director, Analytics

About the role

The Director, Analytics will lead a team of analysts and manage analytics projects to ensure the delivery of high-quality insights that support and advance business objectives. This role requires strategic vision, strong leadership, and deep expertise in data analytics and reporting and methodologies.

Responsibilities

• Uphold and implement the strategic vision for the Analytics function.
• Collaborate with cross-functional leaders to identify areas of opportunity for Analytics growth within clients and new business prospects.
• Lead and manage a group of Analysts, providing mentorship, guidance, and professional development opportunities.
• Support department leadership with annual 1YP.
• Support and sign off on the recruitment of less experienced team members.
• Collaborate with senior stakeholders to understand business requirements and translate them into actionable analytics projects.
• Provide hands-on oversight and support for critical, time-sensitive analytics deliverables, including performance deep dives, KPI investigations, and executive or client-requested analyses.
• Oversee the execution of data analysis projects, ensuring timely and accurate delivery of insights.
• Oversee, develop and optimize data models by processing, analyzing, and extracting data from various internal and external media sources.
• Lead and support annual planning initiatives with clients.
• Ensure the accuracy and quality of all data, reports, and visualizations through rigorous QA processes.
• Maintain a collaborative approach to teamwork and problem-solving.
• Show a dynamic personality to effectively engage and influence senior stakeholders.
• Show a passion for challenging business conventions, always thinking of ways to improve and grow.
• Provide sound decision-making skills based on industry knowledge.
• Design and implement robust evaluation metrics and frameworks to assess and monitor media performance.
• Deliver best-in-class campaign reporting and insights, enabling data-driven decisions for media mix investing within the retail media ecosystem.
• Synthesize performance and learning across retailers, tactics, and partners to develop cross-retailer points of view, implications, and optimization recommendations.
• Audit advertising campaigns, troubleshoot performance issues, and track and report on performance and KPIs.
• Provide consultation and advise Commerce Media planning and buying teams on retail media campaign performance, plan optimizations, and recommendations.
• Partner with the Commerce Media team to discuss advertising performance, campaign insights, and recommended optimizations with clients.
• Support the development of data-backed retail data clean room reporting for the agency’s retail media practice.
• Lead and oversee data collection and analysis for retail media DSP and search campaigns to drive clients’ business goals.
• Develop and lead high-stakes client presentations.
• Communicate findings and recommendations effectively to stakeholders.
• Ensure compliance with data governance and security policies.
• Continuously improve retail media analytics product and service offerings.
• Maintain relevant marketing certifications and stay informed of marketing trends and tools.
• Lead and assist in knowledge sharing through internal communication events, training, and other written materials.
• Monitor industry standards, guidelines, and best practices, including IAB and retailer measurement updates, and translate them into applied analytics frameworks and client recommendations.
• Lead and assist in recruiting and retaining top analytics engineering talent, ensuring the team maintains a diversity of skills, backgrounds, and experience.
• Support wider agency initiatives.
• Support the creation of white papers, agency "points of view" blog posts, etc. on data engineering topics.
• Support new business RFP and pitching efforts, as required.
• Foster a culture of continuous learning and innovation within the Analytics team.
• Show accountability, take responsibility, and demonstrate resilience.
• Show up - be accountable, take responsibility, and help others get back up when they are down. Make stuff. Share so others can see what’s happening.

Requirements

• Bachelor’s/Master’s degree in Data Analytics, Statistics, Mathematics, Computer Science, or a related field.
• At least 10-15 years of experience in data analysis and analytics management.
• Strong leadership capabilities to manage and mentor the analytics team, to recruit and retain talent.
• Excellent project management skills to handle multiple high-priority projects and meet deadlines.
• Superior communication skills to convey complex data insights to non-technical and senior stakeholders.
• Strategic thinking to develop and implement effective analytics strategies.
• Proficiency in SQL, Python, or R for data querying and manipulation.
• Demonstrable track record of innovating in the analytics field.
• Expertise in data visualization tools such as Tableau and Power BI.
• Strong statistical analysis skills to derive actionable insights from data.
• Proficient in data modeling to structure and organize data effectively.
• Excellent story-telling capabilities.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
• Strong experience with data governance and security protocols.
• Demonstrated success in leading marketing analytics methodologies like Multi-Touch Attribution (MTA), Audience Development, Clustering, Markov Chain analysis, etc.
• Experience with retail media platforms such as Amazon, Walmart, Target, Kroger, Criteo, Citrus, and third-party API partners (SKAI, Pacvue, etc).
• Strong technical understanding of a range of marketing concepts such as first-party and third-party cookie-based data collection, developing and activating audience segments from digital analytics and data management platforms.
• Experience in reporting and analytics within the retail/shopper marketing domain, interfacing with senior/executive stakeholders.
• Familiarity with and experience in adhering to data governance and security protocols.
• Proven track record of driving business results through data-driven decision-making.
• Experience and positive track record in mentoring and developing junior team members.
• Collaborative mindset to work seamlessly with creative, strategic, and client-facing teams.
• Critical thinking to analyze data and derive meaningful marketing insights.