SEO Data Analyst in Plymouth

Location: Remote UK

Contract: Permanent

Hours: 37.5 hours (Core hours 10:00 am-2:00 pm Monday-Friday)

Salary: £30,000 - £36,000 per annum

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. They’re all written and checked by our wonderful team of experienced educators, and there are hundreds of thousands of resources to download, with new ones added daily.

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 (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.
• 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.

Essential Skills & Experience:

• SQL: You are comfortable writing queries to join, filter, and aggregate data from multiple tables.
• Python for data analysis: You have practical experience using Python for data manipulation and analysis.
• 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):

• 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).
• An interest in digital marketing, particularly 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. This will help us to understand any modifications we may need to make to support you throughout our selection process.

Benefits:

• In return for everything you can bring, we can offer you an exciting role in a fast-growing and dynamic business, with plenty of career opportunities.
• A friendly, welcoming and supportive culture. We believe work should be fun and always put people before the process.
• 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.
• Cervical and Prostate screening.
• 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.