Data Analyst – PR Reconciliation
Start: ASAPContract Duration: 3 – 6 MonthsRate: Competitive Inside IR35Location: 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
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