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. Key Responsibilities 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. Requirements Skills Essential 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) Desirable Python Data Warehousing (e.g., Snowflake, Redshift) and ETL (e.g., FiveTran) Subscription Product Experience 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. Behaviours that will help this role succeed 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. #J-18808-Ljbffr