Social Analytics & Insights Analyst in London

Social Analytics & Insights Analyst in London

London Full-Time 45000 - 55000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Transform social data into actionable insights for our global brands.
  • Company: Join Future Publishing Limited, a leader in digital media and innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Collaborative environment with a focus on creativity and innovation.
  • Why this job: Make an impact by shaping social strategies with data-driven insights.
  • Qualifications: Experience in analytics and a passion for social media trends.

The predicted salary is between 45000 - 55000 £ per year.

Future Publishing Limited is seeking a data-forward Social Analytics Lead to measure, understand and improve social performance across our global brands.

You’ll turn platform data into clear insights for editorial, commercial and BI teams.

In this hybrid London-based role, you’ll build reporting dashboards with Looker Studio, track referrals with Google Analytics and Marfeel, and monitor social listening to spot trends and opportunities.

Social Analytics & Insights Analyst in London employer: Future Publishing Limited

At Future, we pride ourselves on being an excellent employer, offering a vibrant work culture in our Bath office that fosters collaboration and innovation. Our Mobile Apps Marketing Executive role provides not only competitive benefits like uncapped leave and enhanced parental leave but also ample opportunities for professional growth within a supportive team dedicated to expanding our digital readership. Join us to make a meaningful impact while enjoying perks such as discounted healthcare and a share in our profits when we hit our targets.

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Contact Details:

Future Publishing Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Social Analytics & Insights Analyst in London

✨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 Future Publishing Limited!

✨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 Social Analytics & Insights Analyst at Future Publishing Limited.

✨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 Future Publishing Limited.

✨Apply Directly through Our Website

When you find a suitable opening like Social Analytics & Insights Analyst at Future Publishing Limited, 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 Social Analytics & Insights Analyst in London

Data Analysis
Social Media Analytics
Looker Studio
Google Analytics
Marfeel
Reporting Dashboard Creation
Trend Monitoring

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 Future Publishing Limited, 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 Future Publishing Limited. 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 Future Publishing Limited

✨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 Future Publishing Limited!

✨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.