Data Analyst

Job Title: Data Analyst

Department: Data Science

Reporting to: Lead Data Analyst

Locations: London, Dundee, or Glasgow, UK

Ways of Working: Hybrid - 1 day every 6 weeks in the office

Contract Type: Permanent

The Data Science & Analytics Team at DC Thomson is recruiting an experienced Data Analyst to join our team in London, Dundee, or Glasgow. The role supports a high‑performance, data‑driven culture by maintaining quality standards, documenting definitions, and delivering analysis that improves operational efficiency and strengthens commercial outcomes.

• 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 to ensure outputs are trusted and repeatable.
• Stakeholder Support – Gathers requirements, communicates status, and ensures outputs are understandable and actionable.
• Continuous Improvement – Suggests small process/automation enhancements that reduce manual effort and improve consistency.

Skills

• BI tools – e.g., Looker (preferred), Tableau, PowerBI
• SQL
• Event Tracking and Web/App Analytics:
  Google Tag Manager, Google Analytics and/or Snowplow
• Consumer App/Web Analytics
• Building data pipelines (preferably using dbt)

• Python
• Data Warehousing (e.g., Snowflake, Redshift) and ETL (e.g., Five Tran)
• Subscription Product 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 and manages expectations.
• 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.

• Being More Curious – Asks clarifying questions, explores anomalies, 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.