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Data analyst

Dundee
DC Thomson
Data analyst
€37,500 a year
Posted: 17h ago
Offer description

Job Title: Data Analyst
Department: DataScience
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 are recruiting for an experienced Data Analyst to join our team in either London, Dundee,orGlasgow.

During a time of digital transformation, the Data Science & Analytics Team have received support and investment to promote a data driven culture across the business.

This is a great opportunity for an experienced data analyst who is actively integrating AI tooling into their personal workflows. The Data Analyst will have an opportunity to mentor others while also gaining exposure to a variety of projects across different industries, brands and their internal teams at a leading technology, information and media company.

The Data Analyst role provides 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‑sourced data sets into structured reports, dashboards and analysis 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 ability to respond to trends and opportunities.

The Data Analyst will have an opportunity to gain exposure to both Data Science and Analytics Engineering projects to support their career development. In time, this role can progress into a more senior Individual Contributor role or alternatively, a Line Manager role. Furthermore, the team benefit from allocated days for career growth to attend conferences and industry events.


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 so 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.


Essential Skills

* BI tools – e.g., Looker (preferred), Tableau, PowerBI
* SQL
* Event Tracking and Web/App Analytics: Google Tag Manager, Google Analytics and/or Snowplow


Desirable Skills

* 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 able 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, tracks progress and meets 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.
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