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For Companies At a Glance
- Tasks: Lead analytics initiatives, optimise reporting, and conduct data 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 proactive individuals who thrive in collaborative environments and embrace continuous improvement.
The predicted salary is between 48000 - 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.
Senior Business Intelligence Analyst employer: Maxwell Bond
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 your discussions.
✨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 in these areas during interviews will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used analytics to drive business impact in your previous roles. Highlighting your ability to translate data into actionable insights will resonate well with the hiring team.
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 your experience in business intelligence and analytics. Emphasise your SQL proficiency, Tableau expertise, and any relevant financial services background to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making. Mention specific examples of how you've used analytics to drive business impact and how you can contribute to the organisation's goals.
Highlight Relevant Skills: In your application, clearly outline your skills in SQL, Tableau, and Excel. Provide examples of complex queries you've written or dashboards you've created to demonstrate your technical capabilities.
Showcase Your Communication Skills: Since strong communication is essential for this role, include examples of how you've effectively communicated technical concepts to non-technical stakeholders. This will show your ability to bridge the gap between data and business needs.
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 impacted business decisions. Consider bringing a portfolio of your work or examples of dashboards you've created in Tableau.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces. Demonstrating an understanding of how data-driven decision-making can enhance performance and value creation will show that you are aligned with the organisation's goals.
✨Prepare for Stakeholder Interaction
Since collaboration with various stakeholders is key, think about how you would approach gathering reporting requirements. Prepare examples of how you've successfully communicated technical concepts to non-technical audiences in the past.
✨Emphasise Continuous Improvement
The role requires a commitment to enhancing reporting outputs and data integrity. Be ready to discuss any initiatives you've led or participated in that focused on process improvement or automation, highlighting the results achieved.
