Data Analyst (Inside IR35 Contract)
Possible
Sponsorship likelihood
This job is eligible only on a shortage list
Not disclosed
Salary
Not disclosed by employer
£41,700
Going rate
Skilled Worker going rate
This role likely qualifies for a Skilled Worker visa
SOC 3544 (71% match) is an eligible occupation, with a going rate of £41,700, and Investec is a licensed sponsor. That is our reading of the rules. Whether they issue a Certificate of Sponsorship is still their call.
New graduate or PhD holder? Pick one of the lower rates.
What each route needs for this job
| Occupation code | New entrant 70% of going rate | STEM PhD 80% of going rate | Relevant PhD 90% of going rate | Standard rate 100% of going rate |
|---|---|---|---|---|
3544 Data analysts Most likely code | £33,400 | £41,700 | £41,700 | £41,700 |
We use the lowest threshold across the plausible codes. Likelihood is Possible at most when the pay clears only a lower rate, or only under a less likely code. How the Home Office picks the code
About the role
Contract Data Analyst – Credit Risk Finance Transformation | 6-Month Contract | Inside IR35
Investec is looking for two experienced Data Analysts to join our Credit Risk Technology team and support a major Finance Transformation programme.
The programme will introduce a new Oracle finance system and deliver important changes to how finance and credit risk data is managed and used across the organisation. One role will focus primarily on assessing the impact of the new finance system on Investec's credit risk system. The second will concentrate on understanding how downstream teams consume Finance data in the Credit Risk system and what they will need from the transformed finance environment.
You will work closely with stakeholders across Finance, Credit Risk, Technology, Data and Architecture, using your analytical expertise to identify dependencies, shape requirements and support the successful delivery of the transformation.
What will I be doing?
• Analyse, define and document requirements for the Credit Risk workstream of the Finance Transformation programme.
• Assess the impact of proposed technical changes across existing systems, data structures, processes and reporting capabilities.
• Perform hands-on SQL analysis to understand data flows, dependencies, interfaces and system impacts.
• Conduct data-lineage analysis across Credit Risk data and downstream consumers.
• Work with Finance, Credit Risk, Technology, Data and downstream system owners to clarify requirements and resolve issues.
• Support system integration testing, user acceptance testing, test-data analysis, defect resolution and acceptance decisions.
• Define and support data reconciliation activities, data-quality controls and acceptance criteria.
• Track requirements, decisions, risks, issues and delivery readiness, while providing clear progress updates and supporting knowledge transfer and handover.
What are we looking for?
Essential skills and experience
• Strong knowledge of credit risk and finance data.
• Proven business and data analysis experience across complex systems, processes and data environments.
• Strong hands-on SQL skills, including the ability to interrogate, analyse and reconcile data.
• Experience of requirements definition, impact analysis, gap analysis and delivery tracking.
• Experience assessing data lineage, system dependencies, interfaces and downstream impacts.
• Understanding of data reconciliation, data-quality controls and acceptance criteria.
• Strong stakeholder management skills across business, risk, finance, technology, data and system-owner communities.
• The ability to communicate findings, progress, risks and issues clearly through written updates and presentations.
Desirable skills and experience
• Knowledge of data modelling, data architecture and data governance.
• Familiarity with data warehousing, ETL and data integration.
• Experience using SSIS.
• Regulatory knowledge relevant to risk or finance data.
• Experience supporting system integration testing, user acceptance testing and delivery readiness.
• Experience working on a large-scale finance transformation initiative.
• Experience analysing the needs of downstream data consumers and reporting users.
• Understanding of Credit Risk platforms and their wider data ecosystems.
As part of our collaborative & agile culture, our working week is 4 days in the office and one day remote. We believe that being together enables us to live our values and support our clients and communities in an extraordinary way.
Be part of something Out of the Ordinary.
Recite Me
We commit to ensure that everyone is fairly assessed during our recruitment process. To assist candidates in completing their application form, Recite Me assistive technology is available on our Careers pages. This can be accessed by clicking on the ‘Accessibility Options' link at the top of the page.
The Recite Me tool includes a screen reader, styling and customisation options, a series of reading aids, a translator and more.
If you have any form of disability or neurodivergent need and require further assistance in completing your application, please contact the Careers team at [email protected] who will be happy to assist.
This description is the source posting as it read when we added it. We are not affiliated with Investec, so check their own site for the current details.
Where this offer sits in the market
Data analysts (SOC 3544) · UK · ONS ASHE 2025 · basic pay · ~80k in sample- Middle half £32,292–48,568
- Median £38,948
- Going rate £41,700
- Threshold £41,700
- New entrant £33,400–37,530
Similar sponsored roles
See all UK visa jobsNo close matches live right now.
Browse more sponsored jobs at InvestecAbout sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. Investec holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 3544 going rate of £41,700. New-entrant and shortage discounts can lower it.