1 день назад
Senior Business Data Analyst (Financial Services)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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