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Data Analyst – PR Reconciliation

Deloitte - Recruitment

Job Location:

Essex - UK

Salary: Not provided by the employer

Experience Required: 5years

Posted: 24 May 2026 (30+ days ago)

Application Deadline: 21 August 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

This is a remote position.

Data Analyst PR Reconciliation
Start: ASAP
Contract Duration: 3 - 6 Months
Rate: Competitive Inside IR35
Location: Essex or Manchester Hybrid Working Model

Deloitte is a leading global provider of audit and assurance consulting financial advisory risk advisory tax and related services. With a global network of member firms in more than 150 countries and territories we serve four out of five Fortune Global 500 companies. Our professionals are committed to making an impact that matters delivering excellence in a challenging and dynamic environment. This is an exciting opportunity to support Deloitte Operations and work with a leading Tier 1 Banking client and support their better ways of working.

Role Overview
Support the execution of the PR Complaints Reconciliation across Phases 2 and 3 - working under the direction of the Senior Reconciliation Lead (internal) - and to transition into broader MIPR analytical support post-reconciliation.

Technical Skills Required

Python (pandas NumPy) - essential; this role will be executing reconciliation scripts running triage categorisation logic and managing structured data outputs across large file sets
SQL - essential; querying and cross-referencing multiple data sources to validate match results and identify exceptions
Data reconciliation experience - direct experience of large-scale data matching exercises; comfortable working with messy incomplete or inconsistently formatted input files
Schema validation - ability to validate incoming data files against a defined schema and produce structured quality scoring outputs
Excel - advanced; action pack generation exception tracking and resolution logging across a large and evolving case population
Salesforce data familiarity - beneficial; Phase 2 and 3 involve data modification governance against live Salesforce records
Audit and documentation discipline - able to maintain a clear version-controlled record of all data modifications match decisions and triage outcomes to support governance and sign-off