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TESTQ Technologies

Business Analyst

London
Posted about 19 hours ago
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IRIS Data Warehouse Snowflake Claims Reporting

Role

Business Analyst responsible for source to target mapping of IRIS claims data into a conformed data warehouse enabling accurate and reconciled reporting.

The role will act as a bridge between business stakeholders and data engineering teams while also supporting the team in understanding IRIS data structures and London Market claims data.

Primary Skills Must Have

  • Strong hands-on experience in Source to Target Mapping (S2T) for legacy systems to Data Warehouse Snowflake.
  • Experience working with traditional PAS AS400 systems extracting claims data.
  • Proven experience in London Market Lloyd's claims data critical.
  • Strong understanding of data modelling dimensions, facts, and data transformation business rules definition.
  • Experience defining data quality rules, reconciliation logic, and validation frameworks.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Soft Skills

  • Strong stakeholder communication and collaboration.
  • Ability to translate business requirements into data specifications.
  • Problem-solving mindset with ownership and accountability.
  • Ability to work with limited documentation and legacy systems.
  • Capability to uplift team knowledge on data and domain.

What the Role Will Do

Key Responsibilities

  • Analyze IRIS claims data to understand structure and relationships.
  • Perform detailed source to target mapping from IRIS raw tables to conformed data models dimensions, facts.
  • Define business rules, transformations, and filtering logic for claims and reinsurance reporting.
  • Establish data quality checks and reconciliation back to IRIS source of record.
  • Work closely with data engineers to support ingestion pipelines and transformation layers.
  • Support UAT validation and reconciliation of reporting outputs.
  • Act as a domain enabler helping the team understand IRIS data structures, London Market claims data, and reporting requirements.

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Ideal Profile

  • 8 - 12 years as a Data Business Analyst.
  • Has delivered end to end mapping from legacy PAS or claims system to data warehouse.
  • Prior experience working in London Market claims data environment.
  • Comfortable working in data heavy integration led programmes.

Skills

Mandatory Skills: P&C Personal lines - Claims, P&C Personal lines - Products

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Skills

Source to Target Mapping
Data Warehouse
Snowflake
Claims Data
London Market
Data Modelling
Data Transformation
Data Quality
Reconciliation Logic
Stakeholder Communication
Problem Solving
Data Engineering
UAT Validation
Business Rules
Data Structures
Integration

Location

London, England, United Kingdom

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