Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data-driven marketing projects and provide actionable insights for clients.
- Company: Accenture is a global leader in digital, cloud, and security services.
- Benefits: Enjoy 30 days leave, flexible work policies, and private healthcare.
- Why this job: Work on impactful marketing challenges with cutting-edge technology in a supportive culture.
- Qualifications: Bachelor's or Master's in a quantitative field; experience in Marketing Mix Modelling required.
- Other info: Hybrid work model with opportunities for career progression and personal development.
The predicted salary is between 43200 - 72000 £ per year.
Manager – Marketing Mix Modelling (MMM) CL7Location: London/UKWork Model: HybridOrganization: Accenture Song Data & AI
Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining deep industry expertise with advanced analytics, AI, and machine learning, we help our clients across more than 40 industries make smarter, faster, and more impactful decisions.
Key responsibilities
Lead and execute MMM projects : Guide teams in building econometric and statistical models to evaluate the ROI and impact of marketing, media, and promotional activities.
Translate data into actionable insights : Provide clients with evidence-based recommendations for budget optimization, channel effectiveness, media mix, and marketing strategy.
Serve as the day-to-day client contact : Build trust and manage stakeholder expectations, ensuring alignment between project delivery and client objectives.
Support project planning and team leadership : Manage workstreams, delegate tasks, and mentor junior team members.
Collaborate across functional areas , including data engineering, media strategy, digital marketing, and business strategy to ensure holistic and integrated delivery.
Ensure model integrity and analytical quality : Review outputs and methodologies to ensure robust and reliable results.
Contribute to the development of best practices and reusable assets within the MMM and broader analytics offering.
What we offer
A people-first culture that values innovation, continuous learning, and growth.
Opportunity to work on high-impact, real-world marketing problems for global brands.
Access to the latest in AI, cloud, and advanced analytics technologies.
A career path with clear progression to Senior Manager and beyond.
Qualifications
Bachelor\’s or Master\’s degree in a quantitative field such as Statistics, Economics, Marketing Science, Data Science, or Engineering.
Strong experience in analytics or consulting roles, including hands-on experience with Marketing Mix Modelling.
Solid understanding of media and marketing channels, including digital, offline, and promotional levers.
Experience using tools such as R, Python, SAS, SQL for modelling and data analysis.
Strong communication skills, with the ability to present complex findings to non-technical stakeholders.
Preferred Qualifications
Experience working in a consulting environment or supporting Fortune 500 clients.
Exposure to multi-touch attribution (MTA) , incrementality testing , or digital performance analytics .
Familiarity with cloud platforms (AWS, Azure, GCP) and data visualization tools (Power BI, Tableau).
Understanding of industry-specific challenges in sectors like CPG, retail, tech, or financial services.
What\’s in it for you
30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
Family-friendly and flexible work policies.
Attractive pension plan with financial wellbeing support and resources.
Private healthcare insurance plan and Mental Wellbeing support.
Employee Assistance Programme, Career Development and Counselling.
A range of generous Parental Leave offerings.
Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services we are known for.
Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
Accenture is an equal opportunities employer and encourages applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.
Locations
London
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity.
#J-18808-Ljbffr
Manager - Marketing Mix Modelling (MMM) employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager - Marketing Mix Modelling (MMM)
✨Tip Number 1
Familiarise yourself with the latest trends in Marketing Mix Modelling (MMM) and analytics. Understanding current methodologies and tools like R, Python, and SQL will not only boost your confidence but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the marketing analytics space. Attend industry events or webinars where you can meet people from Accenture or similar companies. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world case studies where you've successfully applied MMM principles. Being able to articulate your experience with tangible examples will help you stand out during interviews and show your practical understanding of the role.
✨Tip Number 4
Demonstrate your ability to communicate complex data insights clearly. Practice explaining your past projects to non-technical audiences, as this skill is crucial for the Manager role at Accenture, where you'll need to build trust with clients and stakeholders.
We think you need these skills to ace Manager - Marketing Mix Modelling (MMM)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, marketing mix modelling, and any consulting roles. Use keywords from the job description to demonstrate your fit for the position.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about marketing effectiveness and how your skills align with the responsibilities of the role. Mention specific tools you've used, like R or Python, to showcase your technical expertise.
Showcase Your Analytical Skills: Provide examples of past projects where you successfully applied econometric models or data analysis to drive marketing decisions. Highlight any measurable outcomes to demonstrate your impact.
Prepare for Interviews: Anticipate questions related to your experience with marketing mix modelling and your ability to communicate complex findings to non-technical stakeholders. Practice articulating your thought process and insights clearly.
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Analytical Skills
As a Manager in Marketing Mix Modelling, you'll need to demonstrate your strong analytical capabilities. Be prepared to discuss specific projects where you've successfully used econometric and statistical models to evaluate marketing effectiveness.
✨Communicate Complex Ideas Simply
You'll often present findings to non-technical stakeholders, so practice explaining complex concepts in straightforward terms. Use examples from your past experiences to illustrate how you’ve made data-driven recommendations that led to actionable insights.
✨Highlight Cross-Functional Collaboration
This role requires collaboration across various teams. Share examples of how you've worked with different departments, such as data engineering or digital marketing, to achieve common goals and deliver integrated solutions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you approached them, particularly in relation to budget optimisation and media mix strategies.
