Business Data Analyst

Kristiyana Raycheva
Kristiyana Raycheva
Senior Recruitment Researcher
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Posted on 3 July 2026
Interim
London
32309

Opportunity description

Job Title:
Business Data Analyst
Business Data Analyst
3 months contract
Day rate: £500- £600 per day outside IR35
Primarily remote, with occasional travel to Central London

Job Overview

We are seeking an experienced Senior Data & Business Analysis Consultant to support a range of banking and payments engagements. This is a consulting-focused role centered on understanding and assessing data landscapes during the design phase of projects, rather than building or implementing technical solutions.
The role involves evaluating data sources, provenance, quality, structure, frequency, and accessibility, while helping clients define business and data requirements. The successful candidate will act as a trusted advisor, working closely with stakeholders to shape solutions and provide insight into data opportunities, risks, and constraints.
Responsibilities
  • Assess and document data sources, flows, provenance, ownership, and interfaces.
  • Analyse data structures, formats, refresh frequencies, and overall suitability for business use cases.
  • Evaluate data quality and identify gaps, risks, and improvement opportunities.
  • Investigate commercial, operational, or regulatory barriers to accessing and using data.
  • Support the design of operational reporting and dashboard solutions by defining data requirements.
  • Facilitate stakeholder workshops and gather, challenge, and refine business and data requirements.
  • Work directly with clients as a trusted advisor, providing recommendations and industry best practice guidance.
  • Produce high-quality documentation, including requirements, assessments, data mappings, and recommendations.
  • Provide informed input on the data and AI tooling landscape while remaining tool agnostic during the discovery and design stages.
  • Support multiple concurrent client engagements as part of a broader consulting team.
Skills Needed
  • Strong understanding of data landscapes, data sourcing, data lineage, data provenance, and data quality assessment.
  • Ability to translate business needs into clear data and reporting requirements.
  • Strong consulting, business analysis, and stakeholder management skills.
  • Proven banking and payments sector experience (essential).
  • Comfortable working with data and discussing data architectures and tooling without being hands-on in implementation.
  • Knowledge of modern data, analytics, and reporting platforms.
  • Strong AI and AI-tooling literacy with the ability to apply AI effectively in consulting and analysis activities.
  • Ability to work independently in client-facing environments and manage multiple priorities simultaneously.

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