Senior Solution Analyst (Data and Analytics)
Job Summary
The Solution Analyst owns the front-end analysis that turns an emerging business need into a clearly defined well-understood piece of work with the outcome scope and rationale established before delivery begins.
This is a Solution Analyst role focused on data and analytics. It brings strong business analysis and data knowledge into the front-end of complex work that spans business functions reporting needs and the firms data platforms. The role suits someone who understands both the business meaning of operational and analytical data and how that data moves is modelled and is made trustworthy across modern data platforms.
The role sits within the Tech Solutions organisation as a deployable analytical and subject-matter-expert resource not permanently embedded in any one team and is deployed against a pipeline of complex work.
What youll do
- Act as the analytical lead for work spanning business functions reporting needs and the firms data platforms bringing together business understanding and hands-on data knowledge.
- Conduct front-end analysis of complex work covering feasibility data quality source-to-target mapping and readiness before a delivery team picks the work up.
- Translate business requirements into clear solution intent working across data analytics business and technical stakeholders to define what good looks like and why.
- Go and get the information needed to do the analysis directly querying data reviewing how source systems behave and profiling data quality yourself rather than waiting for others to provide answers.
- Define and document the data that matters including data definitions business rules mappings and the contracts between systems that keep data consistent as it flows.
- Support the movement of operational analytical and reporting data from legacy sources onto modern data platforms shaping how data is structured so it stays trustworthy and usable.
- Represent technical limitations and implementation realities back to business stakeholders and business intent back to engineers translating in both directions.
- Identify risks a delivery team would not otherwise see including data gaps downstream impacts reconciliation concerns and regulatory implications.
- Support the delivery of analytics business metrics and reporting that give stakeholders on-demand access to trustworthy operational and financial information.
- Support adoption readiness where value depends on more than the build including communications training data clean-up and operational change.
- Create and maintain supporting product documentation including data flow overviews functional narratives and use cases.
Qualifications :
Required
- 8 years of experience as a Business Data or Solution Analyst in financial services asset servicing data and analytics or a comparable environment.
- Strong data analysis skills with the ability to query profile and interpret data directly using SQL and to reason about data quality and lineage.
- Demonstrable experience gathering analysing and documenting business requirements and translating them into clear solution intent and acceptance criteria.
- Experience working with operational analytical or financial data and an understanding of how that data supports reporting analysis and decision-making.
- Experience with source-to-target mapping data definitions and the rules that keep data consistent as it moves between systems.
- Strong analytical judgement knowing what to look at what to ignore and when analysis is good enough to act on.
- Credibility with both business and technical stakeholders with the ability to hold a view under questioning.
- Expert proficiency in Excel and strong proficiency across the Microsoft Office suite.
Preferred
- Experience with a modern data platform such as Databricks or comparable lakehouse or cloud data platforms and an understanding of how data pipelines are designed and documented.
- Hands-on experience building reports and dashboards in Power BI or a comparable business intelligence tool.
- Exposure to Workday particularly where it integrates with finance data flows is valued given current activity in this area.
- Experience supporting data platform migration integration or master data management work.
- Understanding of fund administration or fund accounting data.
- Exposure to AI-assisted analysis and discovery tooling.
- Experience with agile delivery and knowledge of process improvement approaches such as Lean or Six Sigma.
Additional Information :
Whats in it for you to join MUFG Investor Services
Take a look at our careers site and youll find everything youd expect working with one of the fastest-growing businesses at one of the worlds largest financial groups. Now take another look. Because its how we defy expectations that really defines us. Youll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation laser client focus.
So why settle for the ordinary Apply now for your next Brilliantly Different opportunity.
We are committed to using Artificial Intelligence (AI) tools responsibly and being transparent about what we do to build trust and confidence. At MUFG Investor Services we use AI tools to support our recruitment process by helping us understand how well candidates applications align with the requirements of the role.
All AI recommendations are reviewed by our recruitment team before any decisions are made.
More information on our use of AI tools is available in our Privacy Notice available to you as part of your application.
We thank all candidates for applying; however only those proceeding to the interview stage will be contacted.
Remote Work :
No
Employment Type :
Full-time
About Company
WeÂ’re more than just fund administration. Our offerings include a scope of solutions not historically provided by asset servicing companies. From fund financing to subscription lines of credit, securities lending, foreign exchange (FX) services, consulting services and beyond, we help ... View more