At a Glance
- Tasks: Lead a team to deliver insightful analysis and reporting for business decisions.
- Company: Join a dynamic company transforming specialty (re)insurance with a people-first approach.
- Benefits: Enjoy flexible benefits, career growth, and a collaborative culture.
- Why this job: Be part of a passionate team driving innovation and positive change in the industry.
- Qualifications: Degree in finance, maths, or similar; proficiency in SQL, Python, and data visualisation required.
- Other info: Experience with Azure tools and Agile methodologies is a plus.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a BI and Insights Manager to join our team and lead the delivery of insightful analysis and reporting that supports key business decisions. They are on a mission to transform specialty (re)insurance by placing people at the heart of everything they do. Our dynamic, service-focused teams collaborate closely to deliver outstanding customer outcomes. Innovation, continuous improvement, and courage drive them forward in a rapidly evolving industry.
What You’ll Be Doing
- Lead and coordinate a team of MI Analysts, Data Analysts, and BI Developers to deliver insightful analysis and reporting supporting business managers.
- Own the MI, BI, and Analytics function, working with operational leaders to ensure reporting meets business needs.
- Ensure compliance with policies, procedures, legislative, and regulatory requirements while maintaining excellent internal customer service.
- Develop and execute the roadmap for data platforms and reporting solutions.
- Manage data governance, ensuring data collection, storage, security, and accessibility.
- Create and implement a MI and BI framework to standardise team practices and ensure data quality.
- Lead design, implementation, and operation of BI data analysis systems, driving the BI strategy to meet organisational goals.
- Manage BI/MI lifecycle with business user involvement in design processes, data modelling, and integration.
- Prioritise and deliver data-driven initiatives and incremental improvements.
- Optimise the use of commercial and enterprise data across products, sales, finance, and claims.
- Collaborate with stakeholders to understand data requirements and ensure data quality and integrity.
- Generate dashboards, reporting packs, and visualisations for senior management.
- Stay up to date with enterprise BI tool developments, especially Microsoft Power BI.
- Motivate and manage the team, maintaining strong relationships across the organisation.
- Implement policies, documentation, governance, and establish a Centre of Excellence for insight and analysis.
- Support data engineering tasks including SQL modelling, data munging, ETL/ELT pipelines, API interactions, and automation using Python.
- Deliver trusted, high-quality data to inform customer experience and satisfaction insights.
What you can bring:
- Degree in relevant field (finance, maths, physics, or similar). Additional qualifications (MBA, CFA) are a plus.
- Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques.
- Strong understanding of data warehousing, data mapping, logical modelling, and business analysis.
- Experience with Azure data tools and Power BI.
- Proven ability to lead and influence technical teams.
- Experience with project management and Agile methodologies.
- Strong communication skills, capable of explaining technical concepts to non-technical audiences.
- Problem-solving skills with a business focus and stakeholder management experience.
- Knowledge of change management and systems processes.
- Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps.
- Programming experience in Python, SQL, T-SQL, and SSIS.
- Understanding of ELT/ETL processes, RESTful APIs, and integration concepts.
Technologies You’ll Use
- Languages: Python, SQL, T-SQL, SSIS
- Concepts: ELT/ETL, Data Warehousing, APIs (RESTful), Spark APIs, FTP, SSL, SFTP, PKI, Integration Testing
- Methodologies: Agile, DevOps
What’s in it for you?
- A collaborative, innovative culture where your work makes an impact.
- Competitive and flexible benefits tailored to your needs.
- Career growth, development opportunities, and continuous learning.
- The chance to be part of a passionate team driving positive change.
BI / MI Insights Manager employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI / MI Insights Manager
✨Tip Number 1
Familiarise yourself with the latest trends in BI and MI, especially focusing on tools like Microsoft Power BI. Being able to discuss recent developments or features can show your passion and knowledge during interviews.
✨Tip Number 2
Network with professionals in the BI and analytics field. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Prepare to demonstrate your leadership skills by thinking of examples where you've successfully managed teams or projects. Highlighting your ability to motivate and guide others will be crucial for this role.
✨Tip Number 4
Brush up on your SQL and Python skills, as these are essential for the role. Consider working on a small project or case study that showcases your ability to manipulate data and generate insights, which you can discuss in your interview.
We think you need these skills to ace BI / MI Insights Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in BI, MI, and data analysis. Emphasise your leadership skills and any experience with tools like SQL, Python, and Power BI, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming data into insights that drive business decisions. Mention specific examples of how you've led teams or projects that align with the job description.
Showcase Your Technical Skills: Clearly outline your proficiency in SQL, R, or Python, and your experience with data visualisation and statistical programming. Include any relevant certifications or projects that demonstrate your expertise.
Highlight Collaboration and Communication: Since the role involves working closely with stakeholders, emphasise your strong communication skills. Provide examples of how you've successfully explained technical concepts to non-technical audiences in previous roles.
How to prepare for a job interview at Mirai Talent
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, and data visualisation tools like Power BI. Be prepared to discuss specific projects where you've successfully used these skills to drive insights and support business decisions.
✨Demonstrate Leadership Experience
As a BI/MI Insights Manager, you'll be leading a team. Share examples of how you've motivated and managed teams in the past, focusing on your ability to influence technical teams and collaborate with stakeholders.
✨Understand the Business Context
Familiarise yourself with the company's mission to transform specialty (re)insurance. Be ready to discuss how your analytical insights can directly support their goals and improve customer outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and your approach to managing data governance and compliance. Think of scenarios where you've had to ensure data quality and integrity while meeting business needs.