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- Tasks: Analyse data to uncover insights that drive our SEO strategy and growth.
- Company: Join a forward-thinking team in a remote, collaborative environment.
- Benefits: Flexible hours, competitive pay, and opportunities for skill development.
- Why this job: Dive into the world of SEO and make a real impact with your data skills.
- Qualifications: Experience with SQL and Python, plus a passion for data analysis.
- Other info: Great chance to grow your career in a dynamic, tech-savvy company.
The predicted salary is between 35000 - 45000 ÂŁ per year.
Remote - UK Hours: 37.5 hours (Core hours 10:00 am-2:00 pm Monday-Friday)
We are looking for a curious and technically-minded SEO Data Analyst to join our SEO team. This is a fantastic opportunity for someone with a passion for data to step into the world of Search Engine Optimisation. You will be the bridge between our data and the actionable insights that shape our organic growth strategy. You won’t just be reporting numbers; you’ll be using your technical skills to analyse large-scale data, uncovering trends, opportunities, and the “why” behind our performance.
Key Responsibilities
- Use SQL to query and extract large datasets from our data warehouse, including web traffic, rankings, and crawl data.
- Utilise Python (using libraries like Pandas, NumPy, Matplotlib) to clean, analyse, and visualise data to identify performance trends and opportunities.
- Develop and maintain dashboards and reports in tools like Google Looker Studio or Tableau to monitor key SEO metrics.
- Analyse SERP landscapes, competitor performance, and other forms of search data to inform content and technical SEO strategy.
- Collaborate with the wider teams to provide data-driven recommendations.
- Assist in running SEO tests and other experiments, analysing the results to prove the effectiveness of our SEO initiatives.
- Communicate complex findings in a clear and concise manner to both technical and non-technical stakeholders.
Required Skills & Experience
- Comfortable writing SQL queries to join, filter, and aggregate data from multiple tables.
- Practical experience using Python for data manipulation and analysis.
- Strong analytical and problem-solving mindset – ability to break down complex questions, form hypotheses, and use data to find answers.
- Clear communication skills – ability to articulate findings and the story behind the data.
- Proactive attitude and willingness to learn and develop new skills.
Desirable Skills & Experience
- Familiarity with Google Analytics (GA4), Google Search Console, BigQuery or Botify.
- Experience with data visualisation tools (e.g., Looker Studio, Tableau, Power BI).
- Experience working with APIs.
- Experience working with large websites (1m+ pages).
Please submit your CV and a brief cover letter. In your cover letter, please tell us about a project (personal or professional) where you used SQL and/or Python to analyse data and uncover an interesting insight.
SEO Data Analyst employer: Twinkl Limited
Contact Detail:
Twinkl Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SEO Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the SEO field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common SEO and data analysis questions. We recommend practising how to explain your findings clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace SEO Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills we're looking for. Use specific examples that showcase your analytical mindset and problem-solving abilities.
Craft a Compelling Cover Letter: In your cover letter, share a project where you used SQL or Python to analyse data. We want to see your thought process and how you uncovered insights, so be clear and concise!
Show Your Passion for Data: Let your enthusiasm for data shine through in your application. Mention any personal projects or experiences that demonstrate your curiosity and proactive attitude towards learning new skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our SEO team!
How to prepare for a job interview at Twinkl Limited
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL to extract and manipulate data in past projects. Practising writing queries that join, filter, and aggregate data will help you feel confident when discussing your technical abilities.
✨Show Off Your Python Skills
Since Python is a key part of the role, be ready to talk about your experience with libraries like Pandas and NumPy. Consider preparing a small project or example where you used Python for data analysis or visualisation. This will demonstrate your hands-on experience and problem-solving mindset.
✨Communicate Clearly
You’ll need to explain complex data findings to both technical and non-technical stakeholders. Practice articulating your insights in a clear and concise manner. Think about how you can tell a story with your data, making it relatable and understandable for everyone involved.
✨Be Curious and Proactive
During the interview, showcase your curiosity and willingness to learn. Discuss any recent trends in SEO or data analysis that have caught your attention. Employers love candidates who are proactive about their professional development and can bring fresh ideas to the table.