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.
StudySmarter Expert Advice🤫
We think this is how you could land Forecast and Modelling Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MIDiA Research!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Forecast and Modelling Analyst at MIDiA Research.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MIDiA Research.
✨Apply Directly through Our Website
When you find a suitable opening like Forecast and Modelling Analyst at MIDiA Research, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Forecast and Modelling Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MIDiA Research, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MIDiA Research. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MIDiA Research
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MIDiA Research!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
