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- Tasks: Transform complex data into clear reports and dashboards for impactful decision-making.
- Company: Join a leading tech, information, and media company with a data-driven culture.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with diverse projects across various industries.
- Why this job: Make a real difference by providing insights that drive business success.
- Qualifications: Experience with BI tools, SQL, and a knack for data storytelling.
The predicted salary is between 35000 - 45000 £ per year.
The Data Science & Analytics Team at DC Thomson are recruiting for an experienced Data Analyst to join our team in either London, Dundee, or Glasgow. This role supports a data‑driven culture and offers exposure to a variety of projects across different industries, brands and internal teams at a leading technology, information and media company. The Data Analyst will provide clear, accurate and timely insights to enable evidence‑based decision‑making and will turn complex, multi‑source datasets into structured reports, dashboards and analysis that teams can trust.
Responsibilities
- Standard Reporting & Dashboards – Build and maintain accurate, timely dashboards and reports that enable daily decision‑making.
- Data Preparation & Structure – Assist with data extraction, cleaning and basic modelling to ensure reliable inputs for analysis and visuals.
- Ad‑hoc Analysis – Deliver clear, concise analysis to answer defined business questions within agreed timelines.
- Quality & Documentation – Apply checks, validate numbers against sources and maintain definitions so outputs are trusted and repeatable.
- Stakeholder Support – Gather requirements, communicate status and ensure outputs are understandable and actionable.
- Continuous Improvement – Suggest small process/automation enhancements that reduce manual effort and improve consistency.
Requirements
Skills
- Essential: BI tools – e.g., Looker (preferred), Tableau, Power BI; SQL; Event Tracking and Web/App Analytics – Google Tag Manager, Google Analytics and/or Snowplow.
- Desirable: Using dbt for modelling data; Python; Data Warehousing (e.g., Snowflake, Redshift) and ETL (e.g., FiveTran); Subscription Product Experience; Consumer App/Web Analytics.
Experience
- Demonstrable level of data literacy and ability to extract business needs from data requirements.
- Ability to explain data to a less technical audience that influences key decision making.
- Assisting with collecting and analysing data; applies basic techniques to identify trends and prepare findings for review.
- Supporting data structuring and simple models/tables to enable reporting and analysis.
- Creating clear, accurate visuals and dashboards that communicate key messages to non‑technical users.
- Planning own tasks, tracking progress and meeting agreed time/quality targets within small work packages.
- Communicating with stakeholders to clarify needs and share outputs using agreed channels.
Behaviours
- Being More Curious – Asks clarifying questions and seeks to understand what drives the numbers.
- Experiment with Purpose – Tries small improvements to reports/visuals and evaluates impact.
- Owning the Outcomes – Takes responsibility for accuracy, version control and timely delivery.
- Being More Collaborative – Shares definitions, templates and tips; works openly with cross‑functional teams.
- Communicates simply and focuses on usability so insights can be acted upon quickly.
Data Analyst employer: DC Thomson
Contact Detail:
DC Thomson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Get comfortable explaining your thought process when tackling data problems. We recommend using real-world examples from your past work to showcase your skills.
✨Tip Number 3
Showcase your skills with a portfolio! Create a few projects that highlight your ability to turn complex datasets into clear visuals and reports. This will give potential employers a taste of what you can do.
✨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 about their job search!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with BI tools like Looker or Tableau, and don’t forget to mention your SQL skills. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our team. Keep it concise but make sure to showcase your personality and enthusiasm for the role.
Showcase Your Projects: If you’ve worked on any relevant projects, be sure to include them in your application. Whether it’s building dashboards or conducting ad-hoc analysis, we love seeing real examples of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at DC Thomson
✨Know Your Tools
Familiarise yourself with the BI tools mentioned in the job description, especially Looker, Tableau, and Power BI. Be ready to discuss your experience with these tools and how you've used them to create dashboards or reports in the past.
✨Showcase Your Data Skills
Prepare examples of how you've extracted, cleaned, and modelled data in previous roles. Highlight any specific projects where your analysis led to actionable insights or improved decision-making for stakeholders.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Think about how you can convey your findings to a non-technical audience, as this is crucial for influencing decision-making within the company.
✨Be Curious and Collaborative
Demonstrate your curiosity by asking insightful questions during the interview. Show that you're eager to learn and improve processes, and be prepared to discuss how you've collaborated with cross-functional teams in the past.