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- Tasks: Lead a brand modelling project and own the full project lifecycle.
- Company: Dynamic media agency focused on innovative retail initiatives.
- Benefits: Freelance flexibility, competitive pay, and hands-on experience.
- Why this job: Make an impact in retail analytics while developing your skills.
- Qualifications: Experience with R, Bayesian methods, and understanding of VAR models.
- Other info: On-site collaboration in London 2-3 days a week.
The predicted salary is between 500 - 1500 £ per month.
A Media Agency is looking for an Analytics Specialist with skills in Brand Modelling (MMM) for an upcoming 3 month freelance contract.
About the Project: They are seeking a mid-level contractor to lead a brand modelling project for a major retail initiative, covering both the Foods and Fashion Home & Beauty departments. This is a highly autonomous role where the individual will own the full project lifecycle.
Key Responsibilities:
- End-to-end project ownership, including data processing.
- Developing and creating a robust VAR model using R.
- Interpreting model results and presenting findings to stakeholders.
- Working with guidance and support from the core team.
Must-Haves:
- Understanding of Bayesian methods.
- Strong capability in R.
- Basic understanding of VAR (Vector Autoregression) models.
- General media knowledge and understanding of the retail market.
Preferred Skills:
- Basic Python.
- Proficiency in presentation (PPT) skills and developing actionable insights from data.
Duration: 3 month freelance contract
Location: London (on-site 2-3 days a week)
Analytics Specialist employer: YunoJuno
Contact Detail:
YunoJuno Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Specialist
✨Tip Number 1
Network like a pro! Reach out to your connections in the media and retail sectors. Let them know you're on the lookout for freelance opportunities, especially in analytics. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with brand modelling and data analysis. Use real examples to demonstrate your expertise in R and Bayesian methods. This will help you stand out when chatting with potential clients.
✨Tip Number 3
Prepare for interviews by brushing up on your presentation skills. Be ready to explain complex concepts like VAR models in simple terms. Practice presenting your findings as if you're talking to stakeholders, making it engaging and insightful.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly gives you a better chance to showcase your personality and fit for the role.
We think you need these skills to ace Analytics Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with brand modelling and R. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re the perfect fit for this freelance role and how your understanding of Bayesian methods can contribute to our project. Keep it engaging and personal.
Showcase Your Data Skills: Since this role involves data processing and model development, include specific examples of your work with VAR models and any relevant tools you've used. We love seeing practical applications of your skills!
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 don’t miss out on any important updates regarding the process!
How to prepare for a job interview at YunoJuno
✨Know Your Models
Make sure you brush up on your understanding of Bayesian methods and VAR models. Be ready to discuss how you've applied these in past projects, as this will show your expertise and confidence in handling the technical aspects of the role.
✨Showcase Your R Skills
Prepare to demonstrate your proficiency in R during the interview. You might be asked to solve a problem or explain how you would approach developing a robust VAR model. Practising coding challenges beforehand can really help you shine.
✨Present Like a Pro
Since you'll need to present findings to stakeholders, practice your presentation skills. Create a mock presentation based on hypothetical data insights and get comfortable explaining complex concepts in simple terms. This will highlight your ability to communicate effectively.
✨Understand the Retail Landscape
Familiarise yourself with current trends in the retail market, especially in Foods and Fashion Home & Beauty. Being able to discuss these topics will not only show your interest but also your understanding of the industry, making you a more attractive candidate.
