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- Tasks: Manage projects from start to finish, analysing data and presenting insights to clients.
- Company: Join a leading marketing agency working with top-tier clients across diverse industries.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and development.
- Why this job: Be part of innovative projects using econometrics and machine learning to drive real business impact.
- Qualifications: Must have a minimum 2.1 degree in a numerical subject, with experience in data analytics.
- Other info: Ideal for motivated individuals eager to enhance their analytical skills in a collaborative setting.
The predicted salary is between 36000 - 60000 £ per year.
Leading marketing agency working with blue chip clients across various industries. Specializes in developing insights into key business capabilities, understanding market position, and brand strength using econometrics, while expanding into other analytical techniques.
The Role: You will work on projects in small teams, managing the entire project lifecycle from understanding requirements to data analysis, deriving insights, and communicating findings to clients. Projects include traditional econometrics like market mix modelling, as well as advanced techniques such as Attribution, Agent-Based Modelling, and Machine Learning. Tasks may involve linking offline channels to online conversions, predicting consumer behavior, or mapping consumer journeys and their impact on conversion.
About You: A motivated individual. Strong analytics and model-building skills. Excellent communication skills and client interaction desire.
Requirements: Minimum 2.1 degree (or equivalent) in a numerical subject, ideally with Economics or Econometrics exposure. Experience in a data-driven analytics environment. Commercial awareness, preferably with consumer or marketing data experience.
Econometric Analyst - Machine Learning employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometric Analyst - Machine Learning
✨Tip Number 1
Familiarise yourself with the latest trends in econometrics and machine learning. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the field of econometrics and data analytics. Attend industry events or join relevant online forums to connect with others who can provide insights into the role and potentially refer you to opportunities at StudySmarter.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that demonstrate your analytical skills and experience with machine learning techniques. Be ready to explain your thought process and the impact of your work on previous clients or projects.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data insights clearly and concisely. Consider creating a portfolio of your work that includes case studies or examples of how you've successfully communicated findings to stakeholders.
We think you need these skills to ace Econometric Analyst - Machine Learning
Some tips for your application 🫡
Understand the Role: Read the job description carefully to grasp the specific skills and experiences required for the Econometric Analyst position. Highlight your familiarity with econometrics, machine learning, and data analysis in your application.
Tailor Your CV: Customise your CV to reflect relevant experience in analytics and model-building. Include specific projects or roles where you utilised econometric techniques or machine learning, and quantify your achievements where possible.
Craft a Compelling Cover Letter: Write a cover letter that showcases your motivation for the role and your understanding of the marketing agency's work. Mention how your skills align with their needs, particularly in managing project lifecycles and communicating insights to clients.
Highlight Communication Skills: Since excellent communication is key for this role, provide examples in your application that demonstrate your ability to convey complex analytical findings clearly and effectively, especially in client interactions.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with econometrics and machine learning. Highlight specific projects where you've applied these skills, and be ready to explain your thought process and the outcomes.
✨Understand the Company’s Clients
Research the blue chip clients the agency works with and understand their industries. This will help you tailor your answers to demonstrate how your skills can benefit their specific needs.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining complex analytical concepts in simple terms. Be ready to discuss how you would present findings to clients who may not have a technical background.
✨Prepare for Technical Questions
Expect questions on econometric techniques and machine learning methods. Brush up on market mix modelling, attribution, and agent-based modelling, and be ready to discuss how you would apply these in real-world scenarios.
