Subscriber Forecasting & Insights Analyst

Subscriber Forecasting & Insights Analyst

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Immediate

At a Glance

  • Tasks: Develop forecasting models and provide insights to drive subscriber growth.
  • Company: Join a dynamic team at Immediate, focused on innovation and growth.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional development.
  • Other info: Exciting environment with potential for career advancement.
  • Why this job: Make a real impact on subscriber growth using cutting-edge AI tools.
  • Qualifications: Experience in data analysis and forecasting, with strong analytical skills.

The predicted salary is between 63000 - 77000 £ per year.

Immediate is seeking a Commercial Forecasting Analyst to support the Subscriptions Forecasting & Insight team with development of forecasting models and commercial insight to drive subscriber growth and planning decisions.

You will own forecasting model development, leverage AI-enabled tools and data from across the business to understand subscriber behaviour, track performance and sharpen forward views.

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Subscriber Forecasting & Insights Analyst employer: Immediate

Immediate is an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee well-being and development. With benefits like flexible working arrangements, tailored training opportunities, and a supportive environment, employees are empowered to thrive both personally and professionally. Located in a newly renovated office, the company fosters collaboration and creativity, making it an ideal place for those looking to make a meaningful impact in the media industry.

Immediate

Contact Details:

Immediate Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Subscriber Forecasting & Insights Analyst

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Apply Directly through Our Website

When you find a suitable opening like Subscriber Forecasting & Insights Analyst at Immediate, 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 Subscriber Forecasting & Insights Analyst

Forecasting Model Development
AI-Enabled Tools
Data Analysis
Subscriber Behaviour Analysis
Performance Tracking
Commercial Insight Generation
Planning Decision Support

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 Immediate, 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 Immediate. 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 Immediate

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 Immediate!

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.