More jobs:
Director, Analytics
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-02-16
Listing for:
Mars United Commerce
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×