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For Companies At a Glance
- Tasks: Lead analytics initiatives and optimise reporting for data-driven decision-making.
- Company: Join a specialist financial services provider focused on innovation and growth.
- Benefits: Enjoy a hybrid work model and opportunities for professional development.
- Why this job: Be part of a dynamic team driving impactful insights and strategic decisions.
- Qualifications: Degree in a quantitative field and extensive BI experience required.
- Other info: Ideal for proactive individuals who thrive in collaborative environments.
The predicted salary is between 43200 - 72000 £ per year.
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 a core function responsible for managing the entire reporting and analytics lifecycle—from requirements gathering and data extraction to visualisation, testing, and delivery. The team provides critical support across finance, treasury, risk, and strategic planning, while also managing enterprise BI tools and platforms. With a focus on excellence, the team leverages analytics to support informed decision-making, operational efficiency, and long-term business value.
Key Responsibilities
- Champion analytics and business intelligence initiatives across all departments, promoting a culture of data-led decision-making.
- Serve as a subject matter expert for the data platform and reporting tools, offering guidance to key stakeholders.
- Maintain and optimise reporting outputs, identifying areas for enhancement and automation.
- Conduct ad-hoc analysis to meet dynamic business needs.
- Write complex SQL queries to extract and manipulate data across large-scale database environments.
- Support transformation and change initiatives by providing insights and reporting capabilities that improve data integrity and performance.
- Lead delivery of advanced analytics and AI-driven projects aligned with business strategy.
- Analyse performance data to uncover trends, drive insights, and highlight strategic opportunities.
- Collaborate closely with stakeholders to define reporting requirements and ensure high data accuracy and clarity.
- Advise on the development of key performance indicators (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
Essential:
- Degree in a quantitative, scientific, or finance-related field.
- Extensive experience in BI, analytics, or MI (management information) roles.
- Strong SQL proficiency with experience querying large databases and writing scalable, maintainable code.
- Expertise in Tableau with a proven ability to build insightful, interactive dashboards and reports.
- Advanced Excel skills for complex data analysis and modelling.
- Demonstrated ability to apply analytics for business impact.
- Background in financial services or a similar regulated environment.
- Strong communicator with the ability to explain technical concepts clearly and concisely.
- Strong time management and multi-tasking abilities.
Desirable:
- Familiarity with agile development 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
- Highly motivated, proactive, and capable of working independently.
- Organised, efficient, and detail-oriented.
- Skilled in building collaborative relationships and influencing stakeholders.
- Adaptable to change and committed to continuous improvement.
- Excellent verbal and written communication skills.
- Strong analytical and decision-making abilities.
Behavioural Expectations
- Collaboration: Able to coordinate cross-functional teams and support a culture of teamwork.
- Diligence: Able to manage complex data feeds and reporting with accuracy and completeness.
- Attention to Detail: Maintains high standards in data quality, analysis, and communication.
Risk and Compliance
Demonstrate behaviours that support fair outcomes for customers and stakeholders. Understand and apply the organisation’s risk management frameworks and escalate concerns appropriately.
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Intelligence Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in business intelligence and analytics, especially within the financial services sector. This will not only help you understand the industry better but also allow you to speak confidently about how your skills can contribute to the organisation's goals.
✨Tip Number 2
Network with current employees or professionals in similar roles through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Brush up on your SQL and Tableau skills by working on real-world projects or case studies. Being able to demonstrate your technical proficiency with practical examples can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific instances where you've used analytics to drive business impact. Having concrete examples ready will showcase your ability to apply your skills effectively and align with the organisation's focus on data-led decision-making.
We think you need these skills to ace Senior Business Intelligence Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in business intelligence, analytics, and SQL proficiency. Use specific examples that demonstrate your ability to drive insights and support data-led decision-making.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the organisation. Highlight your experience with BI tools like Tableau and your ability to collaborate with stakeholders. Make it clear how your skills align with their needs.
Showcase Your Technical Skills: Be explicit about your technical skills in SQL and Excel, as well as your experience with data visualisation tools. Consider including a brief project example where you successfully used these skills to achieve business outcomes.
Prepare for Potential Assessments: Given the technical nature of the role, be prepared for potential assessments or tests related to SQL queries or data analysis. Brush up on your skills and be ready to demonstrate your analytical thinking during the application process.
How to prepare for a job interview at Maxwell Bond
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. You might be asked to write complex queries on the spot, so brush up on your skills and be ready to explain your thought process while solving problems.
✨Demonstrate Your BI Expertise
Highlight your experience with BI tools, especially Tableau. Bring examples of dashboards or reports you've created, and be ready to discuss how they impacted business decisions.
✨Understand the Business Context
Research the organisation and its role in the financial services sector. Be ready to discuss how your analytical skills can contribute to their goals and how you can champion data-led decision-making across departments.
✨Prepare for Stakeholder Scenarios
Expect questions about how you would handle stakeholder relationships. Think of examples where you've successfully collaborated with different teams, and be ready to discuss how you ensure clarity and accuracy in reporting.
