Data Analyst in Glasgow

The Data Science & Analytics Team at DC Thomson is recruiting an experienced Data Analyst to join our team in either London, Dundee, or Glasgow. During a time of digital transformation, the team has received support and investment to promote a data‑driven culture across the business. This role offers a great opportunity for an analyst actively integrating AI tooling into personal workflows and provides 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 that enable fast, evidence‑based decision‑making across a diversified media, publishing, and genealogy portfolio. The role turns complex, multi‑source datasets into structured reports, dashboards, and analyses that teams can trust, ensuring consistency, accuracy, and actionable interpretation.

The successful candidate will support a high‑performance, data‑driven culture by maintaining quality standards, documenting definitions, and delivering analysis that improves operational efficiency, strengthens commercial outcomes, and accelerates the organisation’s response to trends and opportunities.

In addition to exposure to both Data Science and Analytics Engineering projects, this role can progress into a more senior Individual Contributor role or, alternatively, a Line Manager role. The team also allocates days for career growth to attend conferences and industry events.

• Standard Reporting & Dashboards – Builds and maintains accurate, timely dashboards and reports that enable daily decision‑making.
• Data Preparation & Structure – Assists with data extraction, cleaning and basic modelling to ensure reliable inputs for analysis and visuals.
• Ad‑hoc Analysis – Delivers clear, concise analysis to answer defined business questions within agreed timelines.
• Quality & Documentation – Applies checks, validates numbers against sources, and maintains definitions so outputs are trusted and repeatable.
• Stakeholder Support – Gathers requirements, communicates status, and ensures outputs are understandable and actionable.
• Continuous Improvement – Suggests small process or automation enhancements that reduce manual effort and improve consistency.

• Essential
• BI tools – e.g., Looker (preferred), Tableau, PowerBI
• 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

• 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 and manages expectations
• Assisting with collecting and analysing data; applying basic techniques to identify trends and prepare findings for review
• Supporting data structuring and simple models or 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 and quality targets within small work packages
• Communicating with stakeholders to clarify needs and share outputs using agreed channels

• Being More Curious – Asks clarifying questions, explores anomalies, and seeks to understand what drives the numbers
• Experiment with Purpose – Tries small improvements to reports or 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

To apply for this role, please follow our online application process and submit a CV and cover letter. Closing date for applications: 22nd May 2026.