Data Analyst, Dundee

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 across London, Dundee, or Glasgow offices. During a time of digital transformation, the team has received support and investment to promote a data‑driven culture across the business.

The role offers the opportunity to mentor others and gain exposure to 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 evidence‑based decision‑making across a diversified media, publishing and genealogy portfolio.

Key responsibilities include:

Build and maintain accurate, timely dashboards and reports that enable daily decision‑making.

Assist with data extraction, cleaning and basic modelling to ensure reliable inputs for analysis and visuals.

Deliver clear, concise analysis to answer defined business questions within agreed timelines.

Apply checks, validate numbers against sources and maintain definitions so outputs are trusted and repeatable.

Gather requirements, communicate status and ensure outputs are understandable and actionable.

Suggest small process or 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.

Assist with collecting and analysing data; apply basic techniques to identify trends and prepare findings for review.

Support data structuring and simple models/tables to enable reporting and analysis.

Create clear, accurate visuals and dashboards that communicate key messages to non‑technical users.

Plan own tasks, track progress and meet agreed time/quality targets within small work packages.

Communicate with stakeholders to clarify needs and share outputs using agreed channels.

Behaviors that will help this role succeed

Being more curious– ask clarifying questions, explore anomalies and seek to understand what drives the numbers.

Experiment with purpose– try small improvements to reports/visuals and evaluate impact.

Owning the outcomes– take responsibility for accuracy, version control and timely delivery.

Being more collaborative– share definitions, templates and tips; work openly with cross‑functional teams.

Communicate simply and focus on usability so insights can be acted upon quickly.

Closing date for applications: 5th June 2026.

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