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1 день назад

Senior Business Data Analyst (Financial Services)

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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Описание вакансии

Текст:
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TL;DR
Senior Business Data Analyst (Financial Services): Shaping traceable data requirements and transformation outcomes across business and technology teams with an accent on source-system investigation, data modelling, governance, and quality assessment. Focus on translating complex requirements into technical specifications, validating data with SQL, and aligning senior stakeholders on sustainable data initiatives.

Location: London, United Kingdom

Company

M&G provides asset management, insurance, savings, and investment solutions through its Asset Management and Life operating segments.

What you will do

  • Lead the documentation, cataloguing, and validation of complex data requirements across existing and redesigned business processes.
  • Investigate source systems and assess upstream and downstream data flows, dependencies, and interdependencies.
  • Translate data requirements into measurable business outcomes, technical specifications, User Stories, and acceptance criteria.
  • Work with data engineering teams to convert validated requirements into sustainable data products.
  • Lead data quality assessments and apply enterprise data governance frameworks.
  • Influence business SMEs, Product Owners, Data Owners, and senior stakeholders on data definitions, priorities, and strategic initiatives.

Requirements

  • Proven expertise combining business analysis, data analysis, and data cataloguing.
  • Experience analysing source systems and validating complex data requirements.
  • Strong Agile experience, including writing User Stories and defining acceptance criteria.
  • Knowledge of enterprise data platforms, semantic models, dimensional modelling, star schemas, ETL processes, and data pipelines.
  • Proficiency in SQL for data validation and analysis, plus familiarity with data visualisation tools and cloud-based data platforms.
  • Experience in financial services; exposure to Life operations and a plc environment is advantageous.

Nice to have

  • Familiarity with Snowflake, Azure, Databricks, and Power BI.
  • Experience translating complex data requirements into technical specifications for Life operations.

Culture & Benefits

  • Flexible working arrangements and workplace adjustments are available.
  • Pension scheme of up to 18%, including employer contributions of up to 13%.
  • Share Save and Share Incentive Plan, financial wellbeing support, and related services.
  • 38 days of annual leave including bank holidays, with the option to purchase up to five additional days.
  • Paid parental leave and family support covering maternity, adoption, surrogacy, and paternity leave.
  • Private healthcare, critical illness cover, and life assurance, with additional family options.

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