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For Companies At a Glance
- Tasks: Lead analytics initiatives, optimise reporting, and conduct ad-hoc analysis to drive business insights.
- Company: Join a leading financial services provider focused on data-driven decision-making and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that champions data-led culture and drives impactful business strategies.
- Qualifications: Degree in a quantitative field and extensive BI experience required; strong SQL and Tableau skills essential.
- Other info: Ideal for motivated individuals who thrive in collaborative environments and embrace continuous improvement.
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 role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the BI field, particularly those who work in financial services. Attend industry events or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Brush up on your SQL and Tableau skills by working on personal projects or contributing to open-source initiatives. Demonstrating your technical abilities through practical examples can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've used analytics to drive business impact in previous roles. Be ready to share specific examples that highlight your problem-solving skills and ability to influence decision-making through data.
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 passion for analytics and how your background aligns with the organisation's goals. Mention your experience with BI tools like Tableau and your ability to communicate complex concepts clearly.
Showcase Relevant Projects: If you have worked on projects involving advanced analytics or AI-driven initiatives, be sure to include these in your application. Highlight your role and the impact of your contributions on business outcomes.
Prepare for Technical Questions: Anticipate technical questions related to SQL queries and data analysis during the interview process. Be ready to discuss your approach to problem-solving and how you ensure data accuracy and integrity in your work.
How to prepare for a job interview at Maxwell Bond
✨Showcase Your SQL Skills
As a Senior Business Intelligence Analyst, your SQL proficiency is crucial. Be prepared to discuss specific examples of complex queries you've written and how they contributed to data analysis or reporting. Practising some common SQL scenarios beforehand can help you articulate your experience confidently.
✨Demonstrate Your Analytical Mindset
Highlight your ability to apply analytics for business impact. Prepare to share instances where your insights led to significant decisions or improvements in processes. This will show your potential employer that you can leverage data effectively to drive results.
✨Familiarise Yourself with BI Tools
Since expertise in Tableau and possibly Power BI is essential, ensure you can discuss your experience with these tools. Bring examples of dashboards or reports you've created, focusing on how they provided value to stakeholders and improved decision-making.
✨Prepare for Stakeholder Interaction
Given the collaborative nature of the role, be ready to discuss how you've worked with various stakeholders in the past. Emphasise your communication skills and your ability to translate technical concepts into clear, actionable insights for non-technical audiences.
