Forecast and Modelling Analyst
Forecast and Modelling Analyst

Forecast and Modelling Analyst

Full-Time 28000 - 40000 £ / year (est.) No home office possible
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MIDiA Research

At a Glance

  • Tasks: Build and enhance data models and forecasts for the entertainment industry.
  • Company: Join MIDiA Research, a leader in entertainment industry intelligence.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Work mostly remotely with just two days in our London office.
  • Why this job: Shape the future of digital entertainment while collaborating with top analysts.
  • Qualifications: 1-2 years in data analysis; degree in a quantitative field required.

The predicted salary is between 28000 - 40000 £ per year.

Overview Are you a data-driven thinker with a passion for digital entertainment? Want to build industry-shaping models for the top companies in entertainment? This could be your next move. MIDiA Research is a leading provider of entertainment industry intelligence, working at the intersection of media, technology, and culture. We are now looking for a talented Forecast and Modelling Analyst to help us build the sophisticated forecasts, surveys, and datasets that power strategy for the world’s top media and tech companies. About the role As a Forecast and Modelling Analyst, you will play a key role in building data models and forecasts that underpin MIDiA’s research, analysis, and consulting work. You will also dive into the data pipelines behind our pivotal surveys — transforming raw inputs into refined, client-ready output. Our reputation is built on delivering market-leading data – robust, high quality, and rigorously developed. You will help maintain and enhance this standard, working on complex models and surveys across music, video, games, podcasts, and more. You will collaborate closely with our analysts and consultants, to ensure that our datasets are insightful, accurate, and aligned with industry trends. This role is ideal for someone with a strong quantitative background, excellent data modelling skills, and a passion for the entertainment and media industries. Responsibilities Build, maintain, and improve industry models and forecasts across entertainment sectors Assist with survey formatting processes and their automation Conduct desk research and data collection from third party sources Contribute to thinking and analysis Contribute ideas to improve modelling processes, accuracy, and automation Support consulting work by building bespoke models and forecasts Assist with other Data Team tasks and responsibilities Qualifications One to two years’ experience in modelling, forecasting, or data analysis Physics, Engineering, Computer Science, or Economics A strong academic background with AAA or above at A-level (or equivalent), including Mathematics Proven experience building and maintaining sophisticated data models Excellent Excel skills (including advanced formulas, lookups, etc.) Data manipulation experience, particularly in the context of survey data Ability to identify patterns in data, and deliver meaningful insights from a variety of sources Solid understanding of forecasting methodologies and statistical techniques Strong attention to detail with ability to think at both micro and macro levels Clear, logical communicator able to explain complex concepts clearly Data visualisation and presentation skills will be beneficial (e.g., experience using Powerpoint) Applicant profile Independent and proactive at solving problems Detail-oriented and rigorous Collaborative, friendly, and professional Comfortable working under time pressure Curious and eager to learn Passionate about digital entertainment Details Location: Hybrid – mostly remote with 2 days per week in our London office Working hours: 9:00am to 6:00pm, Monday to Friday Eligibility: Applicants must have the right to live and work in the UK Seniority level: Entry level Employment type: Full-time Job function: Management and Manufacturing Industries: Market Research #J-18808-Ljbffr

Forecast and Modelling Analyst employer: MIDiA Research

At MIDiA Research, we pride ourselves on being a forward-thinking employer that values data-driven innovation and creativity in the digital entertainment sector. Our hybrid work culture promotes flexibility and collaboration, allowing you to thrive both remotely and in our vibrant London office. With a strong focus on employee growth, we offer opportunities for professional development and the chance to work alongside industry experts, making this an ideal environment for those passionate about shaping the future of media and technology.
MIDiA Research

Contact Detail:

MIDiA Research Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Forecast and Modelling Analyst

✨Tip Number 1

Familiarise yourself with the latest trends in the entertainment industry. Understanding current market dynamics will not only help you during interviews but also demonstrate your genuine interest in the role and the company.

✨Tip Number 2

Brush up on your data modelling skills, especially in Excel. Being able to showcase your proficiency in advanced formulas and data manipulation techniques can set you apart from other candidates.

✨Tip Number 3

Network with professionals in the entertainment and data analysis sectors. Engaging with industry experts can provide valuable insights and potentially lead to referrals that could enhance your application.

✨Tip Number 4

Prepare to discuss specific examples of your past work with data models and forecasts. Being able to articulate your experience clearly will demonstrate your capability and confidence in handling the responsibilities of the role.

We think you need these skills to ace Forecast and Modelling Analyst

Data Modelling
Forecasting Techniques
Statistical Analysis
Excel Proficiency
Data Manipulation
Survey Data Analysis
Attention to Detail
Problem-Solving Skills
Communication Skills
Data Visualisation
Research Skills
Collaboration
Curiosity and Eagerness to Learn
Time Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your quantitative skills and relevant experience in modelling, forecasting, or data analysis. Use specific examples that demonstrate your ability to build and maintain data models.

Craft a Compelling Cover Letter: In your cover letter, express your passion for digital entertainment and how your background aligns with the role. Mention any relevant projects or experiences that showcase your data manipulation and analytical skills.

Showcase Technical Skills: Emphasise your proficiency in Excel and any other data visualisation tools you are familiar with. Provide examples of how you've used these skills in previous roles or projects to deliver insights from data.

Highlight Collaboration Experience: Since the role involves working closely with analysts and consultants, mention any past experiences where you collaborated on projects. This could include teamwork in academic settings or professional environments.

How to prepare for a job interview at MIDiA Research

✨Showcase Your Data Skills

Be prepared to discuss your experience with data modelling and forecasting. Bring examples of past projects where you've built or maintained data models, and be ready to explain the methodologies you used.

✨Understand the Industry

Familiarise yourself with the latest trends in the entertainment and media sectors. Being able to discuss current events or innovations in these industries will demonstrate your passion and knowledge during the interview.

✨Prepare for Technical Questions

Expect questions that assess your understanding of statistical techniques and forecasting methodologies. Brush up on key concepts and be ready to solve problems on the spot, as this role requires strong analytical thinking.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. As a Forecast and Modelling Analyst, you'll need to convey insights effectively to both technical and non-technical stakeholders, so clarity is key.

Forecast and Modelling Analyst
MIDiA Research
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