6 дней назад
Senior Business Data Analyst (Asset Management)
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.
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