At a Glance
- Tasks: Lead data discovery and analysis to transform branch data into actionable insights.
- Company: Join a dynamic team in a major transformation programme in London.
- Benefits: Competitive daily rate, flexible work environment, and opportunities for professional growth.
- Other info: Work independently in a collaborative environment with excellent career advancement potential.
- Why this job: Make a real impact by solving data quality challenges and shaping future strategies.
- Qualifications: Experience in data analysis, SQL skills, and strong stakeholder engagement.
The predicted salary is between 48000 - 60000 £ per year.
Data Analyst / Business Analyst - Data Discovery & Analysis
Duration: Mid-July 2026 - March 2027 Location: London (Wood Street) - 1-2 days per week onsite
Overview
We are seeking an experienced Data Analyst / Business Analyst to support a major transformation programme by leading a critical data discovery and analysis workstream.
This role will focus on establishing a single aggregated view of branch data, providing insight into current data quality challenges, identifying gaps and duplication, and defining the requirements needed to achieve the programmes target state.
The successful candidate will combine strong technical data analysis expertise with excellent business analysis skills, enabling them to work independently, challenge assumptions, engage stakeholders, and provide recommendations that directly inform strategic business cases and future programme delivery.
Key Responsibilities
- Lead data discovery activities across multiple systems and data sources.
- Define and document the current-state data landscape and how branch information is captured, stored and utilised.
- Develop a single aggregated view of branch data across the organisation.
- Analyze data quality issues, inconsistencies, duplication and gaps.
- Identify root causes of data quality challenges and provide recommendations for remediation.
- Conduct current-state, gap and impact analysis to support future-state design.
- Define business and data requirements required to achieve the target-state data model.
- Collaborate with programme teams, SMEs and technical stakeholders to validate findings.
- Challenge existing assumptions and data interpretations where appropriate.
- Produce clear documentation, analysis outputs and recommendations suitable for senior stakeholders and business case development.
- Present findings confidently to programme leadership and business stakeholders.
- Support wider programme discovery and transformation activities as required.
- Key Deliverables
- Current-state data assessment.
- Single aggregated branch data model/view.
- Data quality assessment and remediation recommendations.
- Data gap analysis and duplication analysis.
- Future-state requirements documentation.
- Stakeholder workshop outputs and analysis reports.
- Business and data requirements documentation.
- Executive-level insight and recommendations.
- Inputs into programme business cases and investment decisions.
Essential Experience
- Proven experience as a Data Analyst, Technical Business Analyst or Data-Focused Business Analyst within large-scale transformation programmes.
- Strong SQL skills and experience interrogating complex datasets.
- Experience using Power BI, Tableau or similar business intelligence tools.
- Experience working with modern data platforms such as Databricks.
- Strong data profiling, data quality and data governance experience.
- Demonstrable experience performing current-state analysis, gap analysis and requirements definition.
- Ability to identify trends, anomalies, duplication and quality issues within large datasets.
- Experience producing clear and concise documentation for both technical and non-technical audiences.
- Excellent stakeholder engagement and communication skills.
- Comfortable working independently with minimal supervision.
Desirable Experience
- Experience supporting enterprise-wide transformation programmes.
- Experience creating data models, data dictionaries and business data definitions.
- Knowledge of master data management and data governance principles.
- Experience contributing to business case development and investment decisions.
- Experience working within Agile and hybrid delivery environments.
- Technical Skills
- SQL
- Power BI
- Tableau
- Databricks
- Data Analysis & Profiling
- Data Quality Assessment
- Data Modelling
- Requirements Gathering
- Gap Analysis
- Stakeholder Management
- Personal Attributes
- Analytical and naturally inquisitive.
- Confident challenging assumptions and existing processes.
- Strong attention to detail.
- Excellent communicator capable of translating technical findings into business language.
- Self-starter who can operate autonomously.
- Able to influence stakeholders through evidence-based recommendations.
- Assignment Outcome
The objective of this engagement is to establish a trusted, consolidated view of branch data, identify and address data quality challenges, and define the future-state requirements required to support strategic programme decisions and future delivery initiatives.
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