Data Analytics Lead – International Applicants Welcome

🏢 Admiral Group📍 Swansea, Wales, United Kingdom💼 Full-Time💻 Hybrid🏭 Financial Services💰 65000-85000 per year

About the Company

Admiral Group is a FTSE 100 financial services company based in the UK, with operations spanning across multiple countries. Renowned for its unique culture, customer-centric approach, and innovative use of technology and data, Admiral offers a dynamic environment where talent can thrive. We pride ourselves on fostering a collaborative atmosphere, empowering our teams to make significant impacts, and consistently challenging the status quo to deliver exceptional value to our customers.

Job Description

We are seeking an experienced and visionary Data Analytics Lead to join our growing data and analytics department. This critical role will be instrumental in shaping our data strategy, leading a team of talented analysts, and driving data-driven decision-making across the organisation. The successful candidate will combine deep technical expertise with strong leadership qualities, transforming complex data into actionable insights that fuel business growth and enhance customer experience. This position is open to international applicants who are eligible to work in the UK.

Key Responsibilities

  • Lead and mentor a team of data analysts, fostering a culture of innovation, collaboration, and continuous improvement.
  • Develop and implement advanced analytical models, reports, and dashboards to support business objectives across various departments.
  • Translate complex business questions into analytical problems, designing and executing appropriate data solutions.
  • Drive the adoption of best practices in data governance, data quality, and analytical methodology.
  • Collaborate with senior stakeholders to identify key performance indicators (KPIs) and provide strategic insights.
  • Manage projects from conception to completion, ensuring timely delivery and high-quality outputs.
  • Stay abreast of industry trends and emerging technologies in data analytics and machine learning.
  • Communicate complex analytical findings clearly and concisely to non-technical audiences.
  • Contribute to the strategic vision and roadmap for the data analytics function within the company.

Required Skills

  • Proven experience in a lead or senior data analytics role.
  • Expert proficiency in SQL and at least one analytical programming language (e.g., Python, R).
  • Demonstrable experience with data visualisation tools (e.g., Tableau, Power BI, Qlik Sense).
  • Strong understanding of statistical analysis, predictive modelling, and machine learning concepts.
  • Experience with large datasets and data warehousing principles.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication, presentation, and interpersonal skills.
  • Ability to lead, mentor, and motivate a team of analysts.

Preferred Qualifications

  • Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics).
  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Familiarity with A/B testing methodologies and experimental design.
  • Experience in the financial services or insurance industry.
  • Project management certification (e.g., PRINCE2, PMP).

Perks & Benefits

  • Competitive salary and annual bonus scheme.
  • Generous annual leave allowance.
  • Pension contribution scheme.
  • Private medical insurance.
  • Access to exclusive staff discounts and benefits.
  • Comprehensive learning and development opportunities.
  • Employee share scheme.
  • A vibrant and inclusive company culture.
  • Flexible hybrid working model.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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