Analytics Director

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Role Summary

The role is a rare opportunity to be right at the forefront of media and brand analytics leveraging a leading global platform and working with a regional Data Science and Measurement team to aid the biggest marketers with the measurement optimization and planning of media.

This role is a leadership role within one of our largest accounts and you will be leading the growth of relationship with one of the worlds largest auto brands and supporting wider portfolio of clients (QSR CPG etc.). The role is perfect for an analytics leader who has experience delivering excellent end-to-end analytics solutions for clients on multi-year and multi-market projects.

Key Responsibilities

• Lead client engagement for Advanced Analytics solutions (MMM Attribution custom econometric and optimization work) for multi-market and multi-year projects
• Demonstrate excellent data planning skills i.e. correlation analysis test frameworks and hypotheses creation data manipulation interrogation and interpretation
• Mentor a team of managers and analysts ensuring that they are delivering excellent work that impacts the bottom-line of clients
• Work with agency and media partners coordinating deliverables and weaving a cohesive and impactful story
• Drive cross team initiatives working closely with data ops and reporting audience analytics and client solutions teams
• Ensure other hubs within the measurement and optimization team technical capabilities and research and innovation are well briefed and facilitate co-ordination of your deliverables across the pre-agreed team RACI
• Be at the forefront of your field from changes in 3rd party cookies to trends in 3rd party vendors and competitors
• Have an excellent understanding of the products and services from all analytics and data functions within agencies and across the group

Ideal Candidate

• Experience leading MMM and/or Attribution projects for multi-market project
• Technical experience with R-Studio or python specifically in running time series-based modelling and MMM
• Managerial experience (for senior analyst or manager level)
• Experience with Automotive industry
• Background in quantitative modelling and strong grasp of statistical principles pros and cons of different modelling techniques
• Excellent presentation skills and ability to communicate with clients (including C-Suite) and senior colleagues in a clear and interesting way
• Strong project management of complex dependencies and deliverables
• Previous experience in multi-year budget planning and driving long term outcomes for global brands
• Self-starter looking to lead and grow a business function
• Strong grounding in Mar-tech including how attribution and digital platforms work how to extract data from them and where the value is in these tools

Skills

• Market Mix Modelling
• Multi-touchpoint Attribution modelling
• Custom agentic solutions for operational efficiency
• Custom econometrics modelling
• A/B testing and impact evaluation
• Key Driver analysis
• Brand tracking
• Project Management
• Data collection and validation for multiple data sources
• Mentoring and management of analytic talent

Omnicoms policy requires employees to work in the office for a minimum of three days a week unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time and many of our agencies as well as Omnicoms corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed and were focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join uswe look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

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Director