What You’ll Do

• Represent the Data Technology Platforms team across a portfolio of concurrent initiatives, ensuring delivery of data solutions that provide clear business outcomes.
• Independently lead discovery and requirement elicitation with business stakeholders; facilitate workshops, challenge assumptions, resolve ambiguity, and drive timely decisions.
• Translate business needs into clear, testable specifications, including epics/user stories, acceptance criteria, process flows, data definitions, source-to-target mappings, and data quality/control requirements.
• Partner with data engineers, architects, QA, and support teams to shape solution options, assess feasibility, and ensure end-to-end traceability from requirements through to implementation.
• Use SQL to investigate, profile, and validate data in SQL Server and Snowflake, supporting impact analysis, reconciliation, defect triage, and UAT readiness.
• Support testing and release activities end-to-end: defining test scenarios, coordinating UAT, validating outcomes (including data reconciliation), managing defects, and confirming production readiness.
• Own change through to production, including cutover planning inputs, release notes, operational handover to first-line support, and early-life support coordination.
• Manage priorities across multiple projects, proactively surfacing risks, dependencies, and delivery trade-offs.

The Knowledge, Experience, And Qualifications You Need

• Proven experience as a Business Analyst delivering data and/or technology change through the full SDLC in a regulated environment.
• Strong SQL querying skills (analysis, reconciliation, data validation) with experience working with SQL Server and Snowflake (or equivalent modern cloud data warehouse plus willingness to ramp up quickly).
• Strong requirements engineering capability: elicitation, structured documentation, acceptance criteria, traceability, and stakeholder sign-off.
• Ability to challenge requirements and proposed solutions constructively, balancing short-term delivery with strategic alignment.
• Excellent stakeholder management and communication skills, including experience working with senior business and technology stakeholders.
• Strong analytical and problem-solving skills; comfortable working with large, complex datasets.
• Strong delivery discipline: able to manage multiple workstreams, maintain momentum, and coordinate across teams.

The Knowledge, Experience, And Qualifications That Will Help

• Experience in Investment Management data domains (e.g., holdings/positions, transactions, pricing, reference data, benchmarks, corporate actions, performance, risk, ESG).
• Familiarity with data platform concepts such as batch/stream processing, orchestration patterns, data lineage/metadata, and data quality monitoring.
• Experience working in Agile or hybrid delivery models (backlog refinement, sprint ceremonies, defining “definition of ready/done”).
• Exposure to production support models, operational readiness, and support handover for data services.

What You’ll Be Like

• A team-oriented individual.
• Flexible, self-motivated, enthusiastic, and willing to learn.
• A critical thinker who’s able to look at things from different angles.
• Great at unpicking a problem from start to end, owning and delivering the solution.
• Able to work under pressure, on several priorities at once.
• Great at working with other people, sharing, and communicating decisions but can also worked without supervision.
• Keen to improve what we do for our clients

#UST

Skills

• Business Analysis
• Data Analysis
• Data Governance
• Data Validation
• Process Documentation
• Microsoft SQL Server
• SQL
• Risk Management
• Requirements Gathering