At a Glance
- Tasks: Analyse SEO data, uncover trends, and drive organic growth strategies.
- Company: Join Twinkl, a supportive and innovative company dedicated to helping educators worldwide.
- Benefits: Enjoy competitive salary, 33 days leave, health benefits, and a fun work culture.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in a fast-growing business while developing your data skills.
- Qualifications: Experience in SEO, SQL, and Python for data analysis is essential.
The predicted salary is between 45000 - 50000 £ per year.
SEO Data Analyst
Location: Remote UK
Salary: £45,000 - £50,000 per annum
Contract: Permanent
Hours: 37.5 hours (Core hours 10:00 am-2:00 pm Monday-Friday)
We're here to help those who teach. It's what brings us to work every day. At Twinkl, we’ve been providing educators across the world with high quality, trusted teaching and learning resources for over a decade now.
We are looking for an experienced and technically-minded SEO Data Analyst to join our SEO team. This is a fantastic opportunity for an analyst with a background in SEO to apply their skills to large-scale, SEO-first sites. You will be the bridge between our data and the actionable insights that shape our organic growth strategy.
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/Polars, NumPy, Matplotlib) to clean, analyse, and visualise data to identify performance trends and opportunities.
- Own the design and maintenance of dashboards and reports in tools like Google Data Studio or Tableau to monitor key SEO metrics.
- Analyse SERP (Search Engine Results Page) 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.
- Design and run 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.
Essential Skills & Experience:
- SQL: You are comfortable writing queries to join, filter, and aggregate data from multiple tables.
- Demonstrable SEO experience: a strong track record in SEO, with a solid grasp of technical SEO, on-page/content, ranking factors, and how search engines crawl and index at scale.
- Analytical tooling: working knowledge of GA4, Google Search Console, and at least one enterprise crawler or SEO platform (e.g. Botify, Sitebulb, Ahrefs, Semrush).
- Python for data analysis: You have practical experience using Python for data manipulation and analysis.
- Data visualisation: experience building reporting in tools like Google Data Studio, Tableau, or Power BI.
- A strong analytical and problem-solving mindset: You can break down complex questions, form a hypothesis, and use data to find the answer.
- Clear communication skills: You can articulate your findings and the story behind the data.
- A proactive attitude and a desire to learn and develop new skills.
Desirable Skills & Experience (Beneficial but not required):
- Experience working with APIs to extract and combine data from multiple SEO and analytics sources.
- Experience with BigQuery or another cloud data warehouse.
- Experience working with large websites (1m+ pages).
- A broader interest in digital marketing beyond SEO.
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.
If you require a reasonable adjustment to the application/selection process to enable you to demonstrate your ability to perform the job requirements please include this at the foot of your covering letter.
Benefits:
- A friendly, welcoming and supportive culture.
- Diversity, inclusion and belonging - our Employee Network Program includes working groups for LGBTQ+, People of Colour, Disabilities (visible and invisible), Women in Tech and Working Parents.
- From day 1 - Westfield Health, 33 annual leave days per year (pro-rata) inclusive bank holidays, a "Me" day each year, a charity day each year and Twinkl subscriptions.
- Quarterly company awards programme.
- Seasonal events.
- Referral scheme.
- Company sick pay after 3 months of service.
- After probation - cycle-to-work scheme.
- Long-term service reward - Life insurance, enhanced pension contribution, enhanced maternity pay, enhanced adoption pay and enhanced paternity pay, long service award, long service annual leave.
Data Analyst - SEO employer: Twinkl
At Twinkl, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee well-being and growth. With a focus on professional development, our team enjoys flexible working arrangements, generous annual leave, and a supportive environment that fosters collaboration and innovation. Join us in making a meaningful impact in education while enjoying the benefits of a dynamic and rewarding workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - SEO
✨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 Twinkl!
✨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 Data Analyst - SEO at Twinkl.
✨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 Twinkl.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - SEO at Twinkl, 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 Data Analyst - SEO
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 Twinkl, 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 Twinkl. 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 Twinkl
✨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 Twinkl!
✨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.
