Commercial Trading & Analytics Manager in London

Commercial Trading & Analytics Manager in London

London Temporary 50000 - 60000 £ / year (est.) Home office (partial)
SkyShowtime

At a Glance

  • Tasks: Enhance business performance through automated reporting and insightful data analysis.
  • Company: Join SkyShowtime, a leading entertainment company in London.
  • Benefits: Hybrid working model, subsidised restaurants, gym access, and career development opportunities.
  • Other info: Enjoy a vibrant work environment at the Sky campus.
  • Why this job: Make a real impact on marketing strategies and decision-making processes.
  • Qualifications: 4-6 years of experience in data analysis and stakeholder management.

The predicted salary is between 50000 - 60000 £ per year.

SkyShowtime is looking for a Commercial Manager in London for a 12-month fixed-term contract. In this role, you'll enhance the business's understanding of performance through automated reporting and insights, supporting marketing strategies and decision-making processes.

The ideal candidate has 4-6 years of relevant experience, combining data analysis with strong stakeholder management skills.

This position offers a hybrid working model with access to comprehensive on-site facilities at the Sky campus, including subsidised restaurants and a gym.

Commercial Trading & Analytics Manager in London employer: SkyShowtime

SkyShowtime is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a fast-paced environment. With a focus on professional growth, the company provides ample opportunities for development and learning, alongside a hybrid working model that promotes work-life balance. Located at the state-of-the-art Sky campus in London, employees enjoy access to fantastic on-site facilities, including subsidised dining options and a gym, making it an attractive place for those seeking meaningful and rewarding employment.

SkyShowtime

Contact Details:

SkyShowtime Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Commercial Trading & Analytics Manager in London

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like SkyShowtime before they're even advertised!

Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like SkyShowtime.

Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like SkyShowtime.

We think you need these skills to ace Commercial Trading & Analytics Manager in London

Data Analysis
Automated Reporting
Stakeholder Management
Marketing Strategy Support
Performance Insights
Decision-Making Support
Communication Skills

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at SkyShowtime, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to SkyShowtime, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab SkyShowtime’s attention and show the tangible impact of your work.

How to prepare for a job interview at SkyShowtime

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at SkyShowtime.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at SkyShowtime.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at SkyShowtime.