At a Glance
- Tasks: Lead impactful marketing effectiveness programmes and manage multiple project teams.
- Company: Dynamic consultancy focused on data-driven marketing solutions.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Join a culture of curiosity and creativity with excellent career growth opportunities.
- Why this job: Make a real difference for global clients while developing your leadership skills.
- Qualifications: Experience in econometrics and proficiency in Python, R, SQL, and Excel.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Experience in econometrics, MMM, or marketing effectiveness
- Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field
- Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms is a plus
- Strong understanding of econometrics, regression, Bayesian statistics, and advanced modelling techniques
- Skilled in handling large datasets, optimising pipelines, and delivering high-quality outputs
- Track record of translating complex model results into actionable business recommendations
- Proven ability to lead multiple project teams and manage priorities autonomously
- Excellent communication, storytelling, and presentation skills for senior stakeholders
- Strategic thinker with strong problem-solving skills and a focus on continuous improvement
- Experienced in mentoring, talent development, and encouraging team growth
- Skilled in client account management, maintaining relationships, and identifying growth opportunities
- Collaborative, proactive, and results-driven
- Positive, resilient, and adaptable in fast-paced consultancy environments
- Curious, creative, and committed to delivering high-quality work
What the job involves
- As a manager specialising in MMM & Marketing Effectiveness, you will lead high-impact MMM programmes for international clients across industries such as Auto, Beauty, Retail, and Financial Services
- You will manage multiple teams and accounts, oversee end-to-end project delivery, and ensure actionable insights are delivered to clients while driving business growth and talent development
- Oversee end-to-end MMM and marketing effectiveness programmes, from scoping and data strategy through to modelling, insights, and activation
- Ensure robust project governance, including data quality, model validity, and actionable recommendations that drive client impact and business growth
- Translate complex analytical outputs into strategic narratives and clear actionable recommendations for senior stakeholders and C-suite clients
- Define, steer, and monitor project roadmaps using Ekimetrics’ methodologies and standards, ensuring delivery aligns with client objectives, profitability targets, and timelines
- Provide strategic oversight to clients, helping optimise marketing spend, enhance campaign performance, and improve customer segmentation and ROI
- Support partners and senior managers in client engagement, delivering strategic insights, shaping proposals, and contributing to RFPs/pitches
- Continuously identify and implement innovative approaches to solve client business challenges
- Line manage multiple team members, overseeing performance, conducting regular 1:1s, performance reviews, and talent assessments, while ensuring high-quality delivery, profitability, and client satisfaction
- Lead talent development initiatives, including annual talent reviews and career development planning
- Mentor project teams, guiding analytical workstreams, ensuring quality, and promoting knowledge sharing to develop team capabilities
- Contribute to project staffing strategy, balancing business priorities, expertise requirements, and team development opportunities
- Recruit, align, and develop resources to build high-performing teams, retaining top talent
- Encourage collaboration, communication, and knowledge sharing within squads, inspiring team engagement and continuous improvement
- Serve as the operational and strategic point of contact for key accounts, maintaining strong long-term client relationships
- Identify cross-sell and upsell opportunities and support global account growth strategies
- Contribute to the scoping and design of new projects, ensuring business cases align with Ekimetrics capabilities
- Provide strategic guidance to clients using data-driven insights, helping them understand target audiences, optimise marketing spend, and measure campaign impact
- Enhance MMM methodologies, automation, tooling, and internal assets to scale delivery excellence
- Contribute to thought leadership, knowledge management, and innovation initiatives
- Act as an ambassador of Eki culture, role‑modeling Ekimetrics’ core values: Curiosity, Creativity, Excellence, Transmission, Pleasure
Manager of Data science & Marketing Effectiveness employer: Deepstreamtech
Ekimetrics is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and continuous improvement are at the forefront. As a Manager of Data Science & Marketing Effectiveness, you will have the opportunity to lead impactful projects for prestigious international clients while mentoring and developing talent within your team. With a strong emphasis on employee growth, strategic oversight, and a commitment to delivering high-quality insights, Ekimetrics provides a rewarding environment for professionals eager to make a significant impact in the marketing analytics field.
StudySmarter Expert Advice🤫
We think this is how you could land Manager of Data science & Marketing Effectiveness
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend events, join online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work in econometrics and marketing effectiveness. Use real-world examples to demonstrate how you’ve turned complex data into actionable insights. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising your storytelling skills. Be ready to explain your thought process behind your projects and how you’ve led teams to success. Remember, it’s not just about what you did, but how you can communicate it effectively to senior stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are curious and creative. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you on board!
We think you need these skills to ace Manager of Data science & Marketing Effectiveness
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in econometrics, marketing effectiveness, and any relevant tools like Python or SQL. We want to see how your skills align with the role, so don’t hold back!
Tell Your Story:When you write your application, think about how you can translate your past experiences into a compelling narrative. We love a good story that showcases your problem-solving skills and strategic thinking.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications at a glance. Remember, clarity is key!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Deepstreamtech
✨Know Your Stuff
Make sure you brush up on your econometrics, MMM, and marketing effectiveness knowledge. Be ready to discuss specific techniques you've used in the past, especially around regression and Bayesian statistics. This will show that you’re not just familiar with the concepts but can apply them effectively.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, R, SQL, and Excel during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice coding challenges and data manipulation tasks beforehand. Familiarity with cloud platforms like Databricks or Azure could also give you an edge.
✨Communicate Clearly
Since you'll be translating complex data into actionable insights for senior stakeholders, practice how you present your findings. Use storytelling techniques to make your points clear and engaging. Think about how you can convey technical information in a way that resonates with non-technical audiences.
✨Demonstrate Leadership and Team Development
Highlight your experience in managing teams and mentoring others. Be ready to share examples of how you've developed talent and fostered collaboration within your teams. This role requires strong leadership skills, so showing that you can inspire and guide others will be crucial.
