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- Tasks: Lead econometrics projects, build models, and analyze marketing data.
- Company: Join a dynamic team in London focused on marketing analytics.
- Benefits: Enjoy a hybrid work environment with a competitive salary up to £70,000.
- Why this job: Make an impact by optimizing clients' marketing spend and presenting insights.
- Qualifications: Experience in building MMM models and strong communication skills required.
- Other info: Send your CV to Jordan Victor if you're interested!
The predicted salary is between 42000 - 84000 £ per year.
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Supporting the team on econometrics projects including maintaining, running, and building MMM models from scratch
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Collecting, preparing and cleansing datasets from various sources
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Presenting key insights to clients and senior stakeholders
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Analysing marketing data and providing insights and recommendations to clients
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Support clients with optimising marketing and advertising spend
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Proven track-record building MMM/Econometrics models from scratch
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Background in marketing analytics or customer analytics
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Strong technical experience
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Strong communication skills
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Up to £70,000
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Hybrid
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London
If interested in the role please send your CV to Jordan Victor via the Apply Link below
Lead Econometrician employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Econometrician
✨Tip Number 1
Make sure to showcase your experience with building MMM models from scratch. Highlight specific projects where you successfully implemented these models and the impact they had on marketing strategies.
✨Tip Number 2
Prepare to discuss your approach to collecting and cleansing datasets. Be ready to share examples of how you've tackled data challenges in previous roles, as this will demonstrate your technical expertise.
✨Tip Number 3
Since communication is key in this role, think of instances where you've presented complex data insights to clients or stakeholders. Practice articulating these experiences clearly and confidently.
✨Tip Number 4
Familiarize yourself with the latest trends in marketing analytics. Being able to discuss current methodologies and tools will show that you're proactive and knowledgeable in the field.
We think you need these skills to ace Lead Econometrician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with econometrics and marketing analytics. Include specific examples of MMM models you've built and any relevant projects you've worked on.
Showcase Technical Skills: Emphasize your technical expertise in econometrics and data analysis tools. Mention any programming languages or software you are proficient in that are relevant to the role.
Prepare a Cover Letter: Write a compelling cover letter that explains why you're a great fit for the Lead Econometrician position. Discuss your background in marketing analytics and how you can support clients in optimizing their marketing spend.
Highlight Communication Skills: Since strong communication skills are essential, provide examples of how you've effectively presented insights to clients or stakeholders in the past. This will demonstrate your ability to convey complex information clearly.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with building MMM models from scratch. Highlight specific projects where you successfully implemented econometric techniques and the impact they had on marketing strategies.
✨Prepare Data Examples
Since the role involves collecting and cleansing datasets, come equipped with examples of how you've handled data in previous roles. Discuss the tools and methods you used to ensure data quality and integrity.
✨Communicate Insights Effectively
Practice presenting complex data insights in a clear and concise manner. Be ready to explain how you would communicate key findings to clients and senior stakeholders, emphasizing your strong communication skills.
✨Understand Client Needs
Research the company and its clients to understand their marketing challenges. Be prepared to discuss how you can support them in optimizing their marketing and advertising spend based on your analytical insights.
