At a Glance
- Tasks: Lead SEO strategy, optimise websites, and analyse data for impactful insights.
- Company: Established Digital & Creative agency with a focus on innovation.
- Benefits: Competitive salary, company bonus, flexible working, and growth opportunities.
- Other info: Collaborative environment with potential to build your own team.
- Why this job: Join a dynamic team and shape the future of digital marketing.
- Qualifications: 2+ years in SEO, proficiency in Google Ads, and strong analytical skills.
The predicted salary is between 34000 - 44000 £ per year.
An established Digital & Creative agency are looking for an SEO Specialist. This can be anyone with 2+ years SEO experience and from SEO Executive, SEO Manager or SEO Lead.
- You're the all-encompassing expert on all things SEO and PPC and will need to be:
- Proficient in Google Ads, Meta Ads Manager and GA4
- Expert is SEO tools like Ahrefs, SEMrush & Google Search Console
- Strong on keyword research, technical SEO and on-page optimisation
- Analysing and reporting in GA4 and Looker Studio
- Translating data into insights for clients
Role overview
- SEO strategy and delivery across audits, keywords, on-page optimisation.
- Technical SEO using AHREFS, Google Search Console and GA4.
- Writing and testing copy (they do have an in house copywriter who can assist with the non-technical SEO too).
- Good client comms across reports, meetings, calls and emails.
- Staying up to date with trends, algorithms, and technology / tools.
- Collaboration with other departments
Salary £34K-£44K, company bonus scheme, flexible working.
Opportunities to progress in position and long term to build a team as the agency continues to grow.
Office based in Stoke-on-Trent.
- SEO Specialist - Search Engine Optimisation
- #J-18808-Ljbffr
SEO Specialist in Stoke-on-Trent employer: KnoWho
KnoWho is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of Manchester. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and creative expression, ensuring that our team members can thrive while leading impactful PR campaigns. Join us to be part of a forward-thinking company that values innovation and results-driven strategies.
StudySmarter Expert Advice🤫
We think this is how you could land SEO Specialist in Stoke-on-Trent
✨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 KnoWho!
✨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 SEO Specialist at KnoWho.
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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 KnoWho.
✨Apply Directly through Our Website
When you find a suitable opening like SEO Specialist at KnoWho, 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 SEO Specialist in Stoke-on-Trent
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 KnoWho, 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 KnoWho. 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 KnoWho
✨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 KnoWho!
✨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.
