Data Analyst

You will lead the structured discovery of legacy finance and matter data, assess its quality and structure, and play an instrumental role in the migration process that follows.

Responsibilities

• Own the data discovery process across legacy finance and matter systems, profiling data volume, quality, completeness, and structure
• Get a true understanding of legacy database schemas across practice management, case management, and finance platforms, producing field‑level mapping documentation
• Write SQL queries to extract, profile, and validate data from source systems, turning raw data into structured discovery outputs
• Surface data quality issues, retention risks, and anomalies early
• Contribute to the data migration, working across extraction, transformation, validation, and post‑migration reconciliation
• Translate complex data findings into clear, well‑structured outputs, for discovery reports or exception logs
• Contribute to migration runbooks, test scripts, and acceptance criteria
• Build and maintain MI dashboards

Requirements

• At least three years in a data analyst or data migration role, with exposure to complex, multi‑system environments
• Solid SQL capability, with the confidence to write queries against unfamiliar schemas, extract and profile data at volume
• A proven track record in data discovery and quality assessment, with the ability to identify and categorise issues at scale and communicate findings in a way that drives action
• Understanding of the data migration lifecycle, from extraction and transformation through to loading, reconciliation, and acceptance testing
• Strong communication skills, with the ability to present complex data findings clearly to non‑technical audiences
• Experience producing high‑quality data documentation, including data dictionaries, field mapping matrices, and quality exception logs
• Resilience and resourcefulness when faced with legacy data that is incomplete, inconsistently structured, or poorly documented

What Would Set You Apart

• Hands‑on familiarity with legal practice management or case management systems, for example Aderant Expert, SOS Connect, Partner for Windows, ProClaim, Linetime Liberate, or VisualFiles.
• SQL skills, including the ability to interrogate unfamiliar schemas, write profiling and extraction queries, and support transformation and field‑level mapping; exposure to scripting languages such as Python for data preparation and automation
• An appreciation of the data retention obligations and regulatory considerations that apply to legal sector data, particularly client matter records and financial information, and how these affect migration scoping and decision‑making
• Prior experience working within a structured programme or project delivery environment, with an understanding of how data workstreams fit into a broader delivery lifecycle

#J-18808-Ljbffr…