Job Description
Lead Data Analyst – Analytics & AWS | £75,000–£85,000 | Hybrid (1–2 days per month)
Do you want to lead the way in transforming how a business uses data? Are you a seasoned analyst who thrives on turning complex datasets into clear, actionable insights and guiding business leaders to make data-driven decisions?
This is a rare opportunity to join a company at the start of its AWS-powered data transformation, helping to define the data strategy and analytics culture from the ground up.
We are looking for a Lead Data Analyst to join our fast-moving Technology & Change team. This is more than just analysis — it’s about standing confidently as a trusted adviser, influencing how data is collected, understood, and used across the business. AWS analytics experience is valuable, but your focus will be on analytics, insight generation, and strategic influence, with analytical engineering skills as a plus.
What You’ll Be Doing
As Lead Data Analyst, you will shape the organisation’s data journey from the early stages, helping the business move from low data maturity to a culture of insight-driven decision-making. Your role will be a combination of hands-on analytics, data strategy, and stakeholder engagement. You might:
* Analyse complex datasets — structured and unstructured — to deliver actionable insights for operational, commercial, and strategic decision-making.
* Map the current data landscape and communicate what data exists, its quality, and how it can be used effectively.
* Build credibility with stakeholders across the business, from team leaders to senior executives, guiding decisions on analytics priorities, opportunities, and risks.
* Design analytical data models, dashboards, and visualisations (Power BI, QuickSight, Tableau) that turn complex information into clear insights.
* Support and influence the adoption of AWS analytics tools (Redshift, Glue, Athena, LakeFormation, DataBrew), ensuring data is accessible, reliable, and insight-ready.
* Mentor and grow the analytics function, establishing best practices, standards, and frameworks for data use across the business.
* Plan, structure, and optimise analytical workflows to ensure consistent, reliable data is available for decision-making.
* Collaborate with data engineers and other technical teams, keeping the focus on analytics and insight.
This role requires someone who can work independently, influence senior stakeholders, and drive a culture of data literacy across the business. Your insights will directly shape the organisation’s decisions and data strategy.
Who We’re Looking For
* 5+ years’ experience as a Data Analyst, Senior Analyst, or equivalent role in multi-source, complex data environments.
* Strong experience with structured and unstructured data, turning raw information into actionable insights.
* Ability to translate business questions into clear analytical outputs and communicate insights effectively to both technical and non-technical stakeholders.
* Experience with BI and visualisation tools: Power BI, QuickSight, Tableau, or equivalent.
* Familiarity with AWS environment and some analytics services (Redshift, Glue, Athena, LakeFormation, DataBrew) is highly desirable.
* Experience designing analytical data models and planning end-to-end analytical workflows is a plus.
* Proven ability to improving maturity data environments, influencing stakeholders and setting standards.
* Strong communication and presentation skills, capable of establishing credibility quickly with senior leaders.
* Curious, proactive, and passionate about building a data-driven culture.
Why Join
* Be at the heart of a business-wide data transformation, helping shape how data is understood, accessed, and used across hundreds of sites.
* Gain hands-on analytical experience while influencing the strategic direction of data use across the business.
* Build and mentor a growing analytics team, establishing standards, practices, and frameworks from the ground up.
* Career progression potential: this role can evolve into a Head of Data position, giving you the chance to lead and shape the organisation’s data strategy long-term.
* Hybrid working – typically 1 day per week in the office, with flexibility.
* Work in a purpose-driven environment where your insights and leadership have visible, real-world impact.