Data business analyst in asset management

We are currently looking for a Data Business Analyst to join the Royal London Asset Management (RLAM) team on a permanent basis in London. The role will form part of the Client Group Data squad, delivering on strategic initiatives in partnership with Client Group, Data Management and Technology teams.

• Drive business and data analysis for Client Group initiatives and complex change, working closely with Product Owners and senior stakeholders within the scrum teams.
• Gather, understand and document detailed requirements using appropriate tools and techniques, translating business requirements into clear, actionable user stories, acceptance criteria and process documentation.
• Collaborate with internal and external stakeholders to understand and validate data requirements, ensuring accurate reporting Identify barriers to transformation, supporting the prioritisation and scoping of complex backlog items.
• Contribute to solution design for data projects or programmes of change, paying particular focus to people, process, technology, risks, and controls.
• Engagement, reviews and testing with developers, testers, architects and business users.
• Pro-active resolution of issues, designing solutions and presenting recommendations to senior business stakeholders.
• Understanding data models, both normalised and denormalised to work across multiple systems and platforms.
• Part of a scrum team, working to agile methodologies and closely with stakeholders within client group, central data teams and technology.

• Experienced Business Analyst with a strong grasp of the Asset Management industry.
• Proven track record in business and data modelling, process design and solution concepts.
• Experience working with change management processes and operating models within an agile framework with a proven record of successful delivery within a scrum team.
• Knowledge of cloud data Platforms and relational and non-relational databases with SQL proficiencies to query and analyse them.
• Ability to translate and adapt business requirements from various different levels of internal stakeholders into value add deliverables in the form of user stories.
• Able to collaborate with architects, data management and data governance to deliver positive outcomes.
• Experience with testing various elements in product/solution design and operating model implementations.
• Excellent communication skills with the ability to translate complex data solutions into simplified explanations for non-technical business stakeholders.

Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling.

• 28 days annual leave in addition to bank holidays
• an up to 14% employer matching pension scheme
• private medical insurance