Senior Data Strategy Lead

Senior Data Strategy Lead

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data analysis to drive business decisions and measurable outcomes.
  • Company: Dynamic company focused on innovation and collaboration.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a team that values curiosity, collaboration, and continuous learning.
  • Why this job: Make a real impact by shaping data-driven strategies in a fast-paced environment.
  • Qualifications: Strong analytical skills and experience in a commercial or digital setting.

The predicted salary is between 60000 - 80000 £ per year.

We’re looking for a Principal Data Analyst to play a critical role in strengthening analytical capability across a fast-paced, portfolio-based business navigating changing audience behaviours and increasing market competition. This role sits at the centre of decision-making, helping teams across Product, Editorial, Commercial, Marketing, Finance and Technology better understand data, unlock insight and drive measurable commercial outcomes.

You’ll lead the delivery of high-quality analysis, shape how we measure success and ensure data is translated into clear, actionable insight that supports revenue growth, efficiency and innovation. Operating in a highly collaborative, matrix environment, you’ll influence senior stakeholders, provide analytical oversight and elevate standards across the organisation. You’ll champion best practice, improve analytical methodologies and help build data literacy and capability across teams.

This is an opportunity to combine hands-on analysis with strategic impact — shaping how data is used to inform decisions and drive business performance at scale.

  • Strong experience delivering advanced analysis and insight in a commercial or digital environment
  • Proven ability to translate complex data into clear, actionable recommendations that influence decision-making
  • Expertise in developing and governing KPI frameworks, ensuring consistency and business alignment
  • Experience leading analytical approaches, methodologies and quality assurance standards
  • Strong stakeholder management skills, with the ability to influence senior partners across multiple functions
  • Track record of driving measurable business impact (e.g. revenue growth, cost efficiencies, customer outcomes)
  • Experience collaborating with cross-functional teams including Product, Engineering, Commercial and Finance
  • Ability to balance strategic thinking with hands-on analytical delivery
  • Knowledge of modern analytical tools, techniques and data environments
  • Experience improving processes, automation and analytical efficiency
  • Passion for building capability in others and raising data literacy across teams

Critical Skills & Capabilities

  • Data Analytics– Level 5: Leads analytical activities, ensuring high-quality insights and applying advanced techniques to support decision-making
  • Strategic Planning – Level 5: Contributes insight to strategic planning and supports evidence-based decision-making
  • Learning & Development Management – Level 4–5: Coaches and develops analysts, supporting capability growth across teams
  • Enterprise & Business Architecture – Level 4–5: Aligns analytics with enterprise data models, standards and frameworks
  • Stakeholder Relationship Management – Level 5: Builds strong, trusted relationships, ensuring clarity and shared understanding of analytical outputs

Behaviours We Value

  • Being More Curious – Proactively explores data trends and challenges assumptions
  • Experiment with Purpose – Tests new analytical methods to improve insight quality and speed
  • Owning the Outcomes – Takes accountability for the clarity, accuracy and impact of insights
  • Being More Collaborative – Works openly across teams, co-creating solutions and removing blockers
  • Communicates clearly, simplifying complexity and building trust through evidence-based recommendations
  • Adapts quickly to shifting business priorities and evolving needs

To apply: please follow our online application process and submit a CV and cover letter. Closing date for applications: 4th June 2026 at 12:00 noon.

Senior Data Strategy Lead employer: DC Thomson

As a Senior Data Strategy Lead, you will thrive in a dynamic and collaborative environment that prioritises innovation and analytical excellence. Our commitment to employee growth is evident through continuous learning opportunities and a culture that encourages curiosity and experimentation. Located at the heart of a fast-paced industry, we offer a unique chance to influence key decision-making processes while driving measurable business outcomes.

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Contact Details:

DC Thomson Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Strategy Lead

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to data strategy. We recommend using the STAR method to structure your answers — it helps you showcase your experience effectively.

Tip Number 3

Showcase your analytical skills during interviews. Bring examples of how you've turned complex data into actionable insights. This is your chance to shine and demonstrate your impact!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior Data Strategy Lead

Data Analytics
Analytical Methodologies
KPI Framework Development
Stakeholder Management
Cross-Functional Collaboration
Strategic Planning
Process Improvement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Strategy Lead. Highlight your experience in delivering advanced analysis and how you've influenced decision-making in previous roles. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for data and how you've driven measurable business impact. Be sure to mention specific examples that showcase your analytical prowess and stakeholder management skills.

Showcase Your Collaborative Spirit:We value collaboration, so make sure to highlight any experiences where you've worked with cross-functional teams. Share how you’ve co-created solutions and built strong relationships with stakeholders to drive results.

Follow Our Application Process:Don’t forget to apply through our website! It’s super easy and ensures your application gets to the right place. Plus, we love seeing candidates who follow instructions closely—it's a great first impression!

How to prepare for a job interview at DC Thomson

Know Your Data Inside Out

Before the interview, dive deep into your past analytical projects. Be ready to discuss specific examples where your insights led to measurable business outcomes. This will show your potential employer that you can translate complex data into actionable recommendations.

Master the Art of Storytelling

When presenting your analysis, think about how you can tell a compelling story with the data. Practice explaining your findings in a way that highlights their impact on decision-making and aligns with the company's goals. This will demonstrate your ability to influence senior stakeholders effectively.

Showcase Your Collaborative Spirit

Since this role involves working across various teams, be prepared to share examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your experience in building strong relationships and co-creating solutions to showcase your teamwork skills.

Stay Curious and Adaptable

During the interview, express your passion for exploring data trends and your willingness to experiment with new analytical methods. Share instances where you've adapted to changing priorities or challenges, as this will reflect your proactive approach and alignment with the company's values.