Senior Business Intelligence Analyst

JR United Kingdom; Crawley; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A leading financial services provider is seeking a Senior Business Intelligence Analyst to join their hybrid team. This role involves championing analytics initiatives, managing data platforms, and enhancing reporting and BI tools to support strategic decisions. Ideal candidates will have a strong background in BI, excellent SQL and Tableau skills, and the ability to apply analytics for impactful business outcomes.

Qualifications

• Extensive experience in BI, analytics, or MI roles.
• Strong SQL skills with experience querying large databases.
• Expertise in Tableau and advanced Excel for data analysis.

Responsibilities

• Champion analytics and BI initiatives for data-driven decisions.
• Write complex SQL queries to extract data from large databases.
• Conduct ad-hoc analysis and lead delivery of advanced analytics projects.

Skills

SQL

Tableau

Excel

Business Impact Analytics

Communication

Data Management

Agile Methodologies

Power BI

Education

Degree in a quantitative, scientific, or finance-related field

Job description

Job Title: Senior Business Intelligence Analyst

Location: London (Hybrid, 50/50 split)

About the Organisation

This organisation is a specialist provider of financial services, committed to delivering exceptional support and insights to business clients. Its strategic approach to data-driven decision-making and customer-focused innovation plays a central role in supporting long-term growth, performance, and value creation.

About the Department

The Business Intelligence team is responsible for managing the entire reporting and analytics lifecycle—from requirements gathering and data extraction to visualisation, testing, and delivery. The team supports finance, treasury, risk, and strategic planning, and manages enterprise BI tools and platforms.

Focusing on excellence, the team leverages analytics to support informed decision-making, operational efficiency, and long-term business value.

Key Responsibilities

1. Champion analytics and business intelligence initiatives across all departments, promoting a data-driven decision-making culture.
2. Serve as a subject matter expert for data platforms and reporting tools, guiding key stakeholders.
3. Maintain and optimise reporting outputs, identifying areas for enhancement and automation.
4. Conduct ad-hoc analysis to meet dynamic business needs.
5. Write complex SQL queries to extract and manipulate data from large databases.
6. Support transformation and change initiatives with insights and reporting capabilities to improve data integrity and performance.
7. Lead delivery of advanced analytics and AI-driven projects aligned with business strategy.
8. Analyse performance data to identify trends, insights, and strategic opportunities.
9. Collaborate with stakeholders to define reporting requirements, ensuring high data accuracy and clarity.
10. Advise on developing KPIs to support business goals.

Stakeholder Relationships

Internal:

• BI and Data Analytics teams
• Business line and operations users
• IT, Change, and Transformation teams

External:

• Technology vendors and development partners
• Data providers, including credit and financial information sources

Qualifications and Skills

• Degree in a quantitative, scientific, or finance-related field.
• Extensive experience in BI, analytics, or MI roles.
• Strong SQL skills with experience querying large databases and writing scalable, maintainable code.
• Expertise in Tableau for creating insightful dashboards and reports.
• Advanced Excel skills for complex data analysis and modelling.
• Ability to apply analytics for business impact.
• Experience in financial services or a similar regulated environment.
• Excellent communication skills to explain technical concepts clearly.
• Strong time management and multi-tasking abilities.
• Familiarity with agile methodologies and Jira.
• Experience with Power BI.
• Understanding of data warehousing and ETL concepts.
• Experience evaluating external data sources for quality and value.

Key Attributes

• Motivated, proactive, and independent worker.
• Organised, efficient, and detail-oriented.
• Skilled in building relationships and influencing stakeholders.
• Adaptable to change and committed to continuous improvement.
• Excellent verbal and written communication skills.
• Strong analytical and decision-making skills.
• Collaboration: Capable of coordinating cross-functional teams.
• Diligence: Able to manage complex data feeds with accuracy.
• Attention to Detail: Maintains high standards in data quality and analysis.

Risk and Compliance

• Support fair outcomes for customers and stakeholders.
• Understand and apply risk management frameworks.