Growth Analytics Analyst

Growth Analytics Analyst

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
The Times

At a Glance

  • Tasks: Analyse subscriber behaviour and turn data into actionable insights using SQL and visualisation tools.
  • Company: The Times, a leading media organisation with a passionate team.
  • Benefits: Private medical insurance, strong pension scheme, and flexible working environment.
  • Other info: Access to learning resources and excellent career development opportunities.
  • Why this job: Join a dynamic team and drive subscription growth while enhancing your analytics skills.
  • Qualifications: Experience in analytics and proficiency in SQL and data visualisation.

The predicted salary is between 35000 - 45000 £ per year.

The Times is looking for an analytics professional to join their team in London. You will enhance understanding of subscriber behavior and collaborate with multiple teams. Your role will involve using SQL and visualization tools to turn data into actionable insights, ultimately driving subscription growth.

The position offers the chance to work with a passionate team, access to learning resources, and several generous benefits including private medical insurance, a strong pension scheme, and a flexible working environment.

Growth Analytics Analyst employer: The Times

The Times is an exceptional employer, offering a dynamic work culture in the heart of London where analytics professionals can thrive. With a strong emphasis on employee growth, access to extensive learning resources, and generous benefits such as private medical insurance and a robust pension scheme, you will be part of a passionate team dedicated to driving subscription growth through data-driven insights.

The Times

Contact Details:

The Times Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Growth Analytics Analyst

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We think you need these skills to ace Growth Analytics Analyst

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Quality Assurance

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 The Times, 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 The Times. 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 The Times

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 The Times!

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.