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Data Analyst (Fintech)

40 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Analyst (Fintech): Harnessing data to inform strategic business decisions and synthesize complex data sets into actionable insights with an accent on product optimization, customer engagement, and operational efficiency. Focus on developing a centralized data analytics framework, automating BI/MI reporting, and applying predictive modeling to assess business impact.

Location: Hybrid, 3 days a week in Manchester, United Kingdom

Salary: From £40,000

Company

An award-winning UK investment platform providing a secure home for pensions, ISAs, and investments with over 450,000 customers.

What you will do

  • Extract and analyze data from data lakes to provide actionable insights for business strategy formulation.
  • Develop, maintain, and automate BI and MI reports using SQL, Python, and Power BI.
  • Partner with Product, Commercial, and Technology stakeholders to foster a data-led culture and support their data needs.
  • Lead the development and tracking of key performance indicators (KPIs) across the organization.
  • Apply data science methodologies, including statistical modeling and segmentation analysis, to analyze customer behavior.
  • Leverage existing AI and machine learning platforms as a power user to enhance analytical productivity.

Requirements

  • Strong background in analytics within a commercial or digital product/service context.
  • Proficiency in SQL, Power BI, and other data visualization tools.
  • Experience with Google Marketing Cloud (Google Tag Manager, Google Analytics, Google Search Console).
  • Knowledge of statistical concepts, data modeling, and architecture.
  • Experience using AI/ML platforms and tools to enhance analytical capabilities.
  • Must be based in or able to commute to Manchester, UK for 3 days a week.

Nice to have

  • Experience or strong interest in the investment industry and financial markets.
  • Proficiency in Python for advanced data analysis.
  • Experience with A/B testing, funnel optimization, and conversion rate optimization (CRO).
  • Familiarity with Jira/Confluence.

Culture & Benefits

  • Group Personal Pension Plan with 8% employer contribution.
  • Private Medical Insurance provided by Bupa.
  • 25 days annual leave plus bank holidays.
  • Personal & Well-being Fund for physical and mental wellness.
  • Staff discounts on investment products and retail discounts.
  • Life Assurance and Group Income Protection.

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