Data Analyst

at  HSBC

WHO IS HSBC INNOVATION BANKING?

HSBC Innovation Banking is the power behind the UK’s forward-thinkers, future-makers, and leap-takers, helping them ignite the bold ideas that reshape our world. We offer flexible banking solutions for start-ups, scale-ups, growth businesses, investors and those working towards IPO typically within the technology and life science sectors.
Whether it’s comprehensive banking, managing cashflow, plans for buyouts or Strategic Fund Solutions, we power ideas at every stage of their journey. From the first-time founders to the funds that back them, and everything in between. We’re proud to accelerate growth for our clients, create meaningful connections and communities, and open a world of global opportunity for entrepreneurs and investors alike.
Here’s to never standing still. Come and join us!

QUALIFICATIONS

A proven track record in developing analytics.
Experience of using modern analytics tools, such as Looker and Alteryx.
Financial/Banking experience and domain knowledge (e.g. products, key processes and regulation).

EQUAL EMPLOYMENT OPPORTUNITY

We know that some people may be put off from applying for a role if they don’t meet all elements of a job description. If you think you can make a difference to our business, then why not give us a try?
HSBC Innovation Banking is an equal opportunities employer. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, age, religion, sexual orientation, disability or neurodiversity.
If you’d like to apply for one of our roles and need adjustments made, please contact our Recruitment Helpdesk:
Email: hsbc.recruitment@hsbc.co

Work with stakeholders across HSBC Innovation Banking (will vary for each use case as we support teams across HSBC Innovation Banking) to develop actionable data requirements to meet their business needs for new or enhanced analytics.
Locate and analyse data from relevant HSBC systems and external data sources to confirm its suitability.
Design, develop and test reporting applications (e.g.reports, dashboards).
Conduct and document analysis to detect trends and data anomalies.
Identify remedial actions (e.g. report changes, data quality issues to fix) or escalate detections which give cause for concern.
Share information with stakeholders in suitable forms; these will include requirements documents, report specifications/design, reports which includes visual analytics and commentary.