Назад
Company hidden
6 дней назад

Senior Business Data Analyst (Asset Management)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Business Data Analyst (Asset Management): Shaping governed data products and scalable data capabilities for asset management with an accent on business discovery, data quality, governance, and Snowflake-centric architecture. Focus on defining data requirements, source-to-target mappings, product roadmaps, and reusable solutions while resolving data risks and mentoring analysts.

Location: London, United Kingdom

Company

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

What you will do

  • Lead or support discovery with business stakeholders, Data Product Owners, delivery teams, and governance partners.
  • Shape governed, reusable data products aligned with the Asset Management target data strategy and Snowflake-centric platform direction.
  • Define product purpose, scope, users, business outcomes, data requirements, acceptance criteria, lineage, quality expectations, and operating model impacts.
  • Assess data value, risks, quality gaps, ownership issues, governance requirements, and delivery complexity across the data lifecycle.
  • Work with data modellers, engineers, testers, and architects on integration, source-to-target mappings, validation, and discrepancy resolution.
  • Maintain product backlogs and roadmaps, support Agile delivery and OKRs, use AI-assisted tools for efficiency, and mentor junior analysts.

Requirements

  • Experience in business, data, or product analysis within asset management or financial services.
  • Strong data analysis, data exploration, stakeholder engagement, and requirements-shaping skills.
  • Understanding of data product principles, data quality, ownership, stewardship, lineage, metadata, and governance.
  • Experience with or exposure to modern cloud data platforms and tooling such as Snowflake and Purview, plus semantic layers or data marketplaces.
  • Knowledge of investment data, including instruments, positions, transactions, performance, benchmarks, portfolios, asset classes, fund structures, and regulatory drivers.
  • Experience with source-to-target mapping, ingestion design, data validation, Agile methodologies, Scrum or Kanban, product backlogs, and OKRs.

Nice to have

  • Experience improving data product adoption, KPI measurement, value realization, or operating model maturity.
  • Experience using AI-assisted tools and automation for discovery, documentation, and testing.

Culture & Benefits

  • Flexible working arrangements and workplace adjustments are available.
  • Pension scheme of up to 18%, including employer contributions.
  • Share Save and Share Incentive Plan, plus financial wellbeing support.
  • 38 days of annual leave including bank holidays, with the option to purchase five additional days.
  • Paid parental leave, private healthcare, critical illness cover, and life assurance.
  • Inclusive culture with employee-led networks and support for diverse communities.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →