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1 день назад

Senior Advanced Analytics Analyst (AI)

72 700 - 80 780GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Advanced Analytics Analyst (AI): Developing advanced analytics and Generative BI solutions for a major financial services organisation with an accent on large-scale cloud data, semantic models, self-service analytics, and AI-enabled insights. Focus on building conversational analytics capabilities, translating complex analysis into commercial recommendations, and supporting pricing, customer, and strategic decisions.

Location: Edinburgh or Bristol, United Kingdom; hybrid working with at least two days per week or 40% of time in an office

Salary: £72,700–£80,780 per year

Company

hirify.global is a major UK financial services organisation investing in data, technology, and AI to improve customer outcomes and business performance.

What you will do

  • Develop and deliver advanced analytics and Generative BI solutions for business decision-making.
  • Use GCP, BigQuery, and large-scale datasets to identify actionable commercial insights.
  • Build semantic models and self-service analytics capabilities for conversational and AI-enabled insight experiences.
  • Partner with Savings, Pricing, Product, Platform, and Analytics stakeholders to translate priorities into analytical solutions.
  • Present complex analysis through clear stories, recommendations, dashboards, and visualisations for technical and senior audiences.
  • Support emerging AI capabilities, responsible data practices, and continuous improvement across the organisation.

Requirements

  • 3+ years of experience delivering analytics, business intelligence, or data science solutions in a commercial environment.
  • Strong SQL skills and experience with cloud data platforms, particularly GCP and BigQuery.
  • Experience solving business problems with data, identifying opportunities, and influencing decisions.
  • Experience developing dashboards, semantic models, reporting, or self-service analytics using Looker, LookML, and Power BI.
  • Knowledge of Python, advanced analytical techniques, data governance, responsible AI principles, and analytical best practice.
  • Strong communication and data storytelling skills, plus experience with Generative BI, conversational analytics, or AI-enabled insight solutions.

Culture & Benefits

  • Hybrid working with flexibility in office attendance, location, and working patterns where reasonable adjustments apply.
  • Pension contribution of up to 15% and an annual performance-related bonus.
  • Share schemes, including free shares, and lifestyle benefits such as discounted shopping.
  • 30 days of holiday plus bank holidays.
  • Wellbeing initiatives and generous parental leave policies.
  • Commitment to diversity, equity, inclusion, accessibility, and professional development.

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