Senior Business Intelligence Analyst

JR United Kingdom; Bradford; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading financial services provider is searching for a Senior Business Intelligence Analyst to enhance data-driven decision-making across departments. This role entails managing the reporting lifecycle, optimizing data workflows, and leading advanced analytics projects to drive business insights. The ideal candidate will possess strong SQL and Tableau skills, along with significant experience in BI roles, contributing to the organization's strategic growth.

Qualifications

• Extensive experience in BI, analytics, or MI roles.
• Strong SQL skills for querying large databases.
• Proven ability to apply analytics for business impact.

Responsibilities

• Promote BI initiatives and act as a subject matter expert.
• Write complex SQL queries and maintain reporting outputs.
• Support transformation initiatives and deliver advanced analytics projects.

Skills

SQL

Tableau

Excel

Data Analysis

Analytics

Financial Services

Communication

Agile Methodologies

Power BI

Education

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

Tools

Tableau

Power BI

Jira

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 manages 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, leveraging analytics to support informed decision-making, operational efficiency, and business value.

Key Responsibilities:

• Promote analytics and BI initiatives across departments to foster data-driven decision-making.
• Act as a subject matter expert for data platforms and reporting tools, guiding stakeholders.
• Maintain, optimise, and automate reporting outputs.
• Perform ad-hoc analyses to meet business needs.
• Write complex SQL queries for data extraction and manipulation in large databases.
• Support transformation initiatives by providing insights and reporting capabilities.
• Lead delivery of advanced analytics and AI projects aligned with strategy.
• Analyse performance data to identify trends and strategic opportunities.
• Collaborate with stakeholders to define requirements and ensure data accuracy.
• Advise on development of KPIs to support business goals.

Stakeholder Relationships:

Internal:

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

External:

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

Qualifications and Skills:

• Degree in a quantitative, scientific, or finance-related field.
• Extensive experience in BI, analytics, or MI roles.
• Strong SQL skills for large database querying and scalable code writing.
• Expertise in Tableau with dashboard/report development skills.
• Advanced Excel skills for data analysis and modelling.
• Proven ability to apply analytics for business impact.
• Experience in financial services or regulated environments.
• Excellent communication skills to explain technical concepts.
• Strong time management and multi-tasking skills.
• Familiarity with agile methodologies and Jira.
• Experience with Power BI.
• Understanding of data warehousing and ETL processes.
• Experience evaluating external data sources.

Key Attributes:

• Motivated, proactive, independent worker.
• Organised, efficient, detail-oriented.
• Collaborative, influential, adaptable.
• Excellent verbal and written communication.
• Analytical and decisive.
• Team-oriented and diligent in data quality and reporting.

Risk and Compliance:

• Support fair outcomes and understand risk frameworks.