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For Companies At a Glance
- Tasks: Lead the development of cutting-edge Marketing Mix Models and optimize existing ones.
- Company: Join a leading gaming company revolutionizing marketing intelligence solutions.
- Benefits: Enjoy flexible work with just one day in the office per week.
- Why this job: Be part of a dynamic team that values innovation and excellence in econometrics.
- Qualifications: 3+ years in MMM, a numerate degree, and skills in SQL and Python (or R).
- Other info: Opportunity to foster team growth and contribute to a positive work culture.
The predicted salary is between 60000 - 70000 £ per year.
Job Description
Lead Econometric Analyst
Gaming
£60,000 – £70,000
London OR Leeds – 1 day a week
The Company:
I’m currently working with an industry leader within the gaming space that are seeking an experienced Data Analyst who is an expert in Marketing Mix Modelling that will develop the next generation of marketing intelligence solutions for the business.
This is a crucial role within the company as they build up their team where you will have an opportunity to optimise the existing as well as build new models.
As Lead Econometric Analyst you will:
- Help to create and implement the next generation solution of Marketing Mix Modelling , whilst deploying and maintaining econometric models for different brands and markets
- Assist the team in building a top-tier internal MMM team by fostering a positive culture and environment that promotes excellence in econometrics, while supporting team growth and development.
- Actively contributing to enhancing marketing efficiency and driving improvements through optimization and scenario planning.
- Contributing to the development and maintenance of marketing optimisation tools, interactive dashboards, and process automation to establish a best-in-class internal econometrics capability
Requirements:
- The ideal candidate comes from marketing agency or consultancy
- At least 3 years of experience of MMM in a dynamic and fast based business
- You have a numerate degree such as Mathematics, Statistics, Economics, or Computer science at undergraduate or postgraduate level
- You are experienced in SQL and Python (or R)
- You are strong in communicating complex topics in simple terms to stakeholders and colleagues.
- You can demonstrate innovative thinking in the MMM space.
If you’re interested in this Lead Econometric Analyst role please apply below..
#J-18808-Ljbffr
Lead Econometric Analyst employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Econometric Analyst
✨Tip Number 1
Familiarize yourself with the latest trends and tools in Marketing Mix Modelling. Being able to discuss recent advancements or case studies during your interview can showcase your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the gaming and econometrics space. Attend industry events or webinars where you can connect with potential colleagues or leaders in the field, which may give you insights into the company culture and expectations.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through real-world scenarios. Think of examples where you've optimized models or improved marketing efficiency, as this will help you stand out as a candidate who can deliver results.
✨Tip Number 4
Practice explaining complex econometric concepts in simple terms. Since strong communication is key for this role, being able to convey intricate ideas clearly will show that you're not only knowledgeable but also an effective collaborator.
We think you need these skills to ace Lead Econometric Analyst
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Lead Econometric Analyst position. Tailor your application to highlight your experience in Marketing Mix Modelling and how it aligns with the company's goals.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in econometrics, particularly in a marketing agency or consultancy. Provide specific examples of projects where you've successfully implemented MMM solutions.
Showcase Technical Skills: Clearly outline your proficiency in SQL and Python (or R) in your application. Mention any relevant projects or tools you've developed that demonstrate your technical capabilities in data analysis and model building.
Communicate Effectively: Since the role requires strong communication skills, ensure your application reflects your ability to explain complex topics simply. Use clear and concise language in your cover letter to convey your innovative thinking in the MMM space.
How to prepare for a job interview at Salt
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL and Python (or R) during the interview. Be prepared to discuss specific projects where you utilized these skills, especially in the context of Marketing Mix Modelling.
✨Communicate Complex Ideas Simply
Since the role requires strong communication skills, practice explaining complex econometric concepts in simple terms. This will demonstrate your ability to convey important information to stakeholders effectively.
✨Demonstrate Innovative Thinking
Prepare examples of how you've approached problems creatively in the past, particularly in the MMM space. Discuss any innovative solutions you've implemented that improved marketing efficiency or model performance.
✨Foster a Positive Team Environment
As this role involves building a top-tier internal team, be ready to talk about your experiences in fostering a positive culture and supporting team growth. Share specific instances where you contributed to a collaborative work environment.
