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Director, Analytics

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Mars United Commerce
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Overview 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 reporting methodologies.

Primary 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.
  • Exhibit 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.
  • Attract, retain, and develop top analytics engineering talent, ensuring the team maintains a diversity of skills, backgrounds, and experience.
  • Lead the recruitment of less experienced team members.
  • 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…
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