JOB REQUIREMENTS

• 3+ years of hands-on experience ideally in roles that involve both technical and client-facing responsibilities.
• Strong critical thinking skills, excellent communication and collaboration abilities, and an understanding of data strategy, campaign planning and data activation
• Successful track-record of cross-functional collaboration with teams, contributors, and stakeholders across multiple seniority levels
• Data-driven and results-oriented, with a perspective on how to measure and evaluate metrics for pre and post campaign launch, and define and measure metrics to measure the impact of marketing efforts
• Ability to rapidly prioritize and react to changing business needs and external market dynamic
• Experience planning, executing, and overseeing data-driven projects with a focus on aligning deliverables to timelines, budgets, and client objectives.
• Ability to clearly present insights and recommendations to both internal teams and external clients.
• Strategic thinker with a strong eye for detail
• Ability to translate complex topics into easily understandable verbal and written communications, including translating business objectives and opportunity identification
• A unique blend of business and technical savvy with an ability to effectively influence a desired outcome, and the wherewithal to make that vision a reality
• Ability to handle multiple prospects/clients/opportunities simultaneously and thrive in a fast-paced environment
• Self-motivated, determined, and adaptable, with a sense of ownership to resolve challenges that arise
• Ability and willingness to travel up to 20% domestically, only as needed
  Employees can be expected to be paid an annualized salary range of $78,450-$100,000, based on variations in knowledge, skills, experience and market conditions.

GENERAL PURPOSE OF ROLE

The Manager, Analytics, Analytic Liaison connects the data analytics team with business stakeholders to support CRM strategies, test plans, and business roadmaps using performance metrics and internal data. Responsibilities include collaborating across departments, providing subject matter expertise on Quad’s data stack and analytic services, overseeing data projects, and ensuring client needs are met with actionable insights. This role also emphasizes high analytic standards, continuous improvement, strong client relationships, and mentoring team members.