Technical SEO & GEO Specialist in London

Technical SEO & GEO Specialist in London

London Full-Time 45000 - 55000 £ / year (est.) No working from home possible
Selfmoneycare

At a Glance

  • Tasks: Manage SEO tasks and perform technical audits for diverse client accounts.
  • Company: Join Selfmoneycare, a dynamic team in Greater London focused on digital growth.
  • Benefits: Access to top SEO tools, training, and a supportive work environment.
  • Other info: Proactive attitude is key; great opportunities for personal and professional growth.
  • Why this job: Enhance your analytical skills while making a real impact on client success.
  • Qualifications: Strong analytical skills and excellent communication abilities required.

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

Selfmoneycare is seeking a Technical SEO & GEO Executive to join their team in Greater London. The role requires strong analytical skills for managing SEO tasks across various client accounts. In addition to performing technical audits and data analysis, the successful candidate will have access to numerous SEO tools and will receive training to thrive in their role. A proactive attitude and skilled communication are essential for success.

Technical SEO & GEO Specialist in London employer: Selfmoneycare

Selfmoneycare is an excellent employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. Employees benefit from comprehensive training programmes and access to cutting-edge SEO tools, ensuring continuous professional growth and development. With a focus on teamwork and open communication, Selfmoneycare provides a rewarding environment for those looking to make a meaningful impact in the digital landscape.

Selfmoneycare

Contact Details:

Selfmoneycare Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical SEO & GEO Specialist 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 Selfmoneycare!

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 Technical SEO & GEO Specialist at Selfmoneycare.

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 Selfmoneycare.

Apply Directly through Our Website

When you find a suitable opening like Technical SEO & GEO Specialist at Selfmoneycare, 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 Technical SEO & GEO Specialist in London

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

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 Selfmoneycare, 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 Selfmoneycare. 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 Selfmoneycare

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 Selfmoneycare!

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.