At a Glance
- Tasks: Lead financial modelling and BI solutions to drive data-driven decisions.
- Company: Join Solera, a global leader in data and software services.
- Benefits: Competitive salary, inclusive culture, and opportunities for growth.
- Other info: Mentorship opportunities and a focus on continuous learning.
- Why this job: Make an impact by bridging finance and technology in a dynamic environment.
- Qualifications: 7+ years in financial analysis and BI; advanced degree preferred.
The predicted salary is between 72000 - 88000 £ per year.
Who We Are
Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.
The Role
We are seeking a Quantitative BI Analyst to bridge the gap between advanced financial analytics and enterprise-scale business intelligence. This hybrid role combines deep financial modelling expertise with strong technical skills in data architecture and BI tools, enabling data-driven decision-making across a complex, multi-business SaaS organization. The ideal candidate thrives in ambiguity, demonstrates intellectual agility, and can translate complex datasets into actionable insights for senior leadership.
You will design and maintain robust financial and operational models, architect scalable BI solutions, and deliver automated reporting frameworks that empower strategic initiatives, forecasting, and executive decision-making.
What You’ll Do
- Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation.
- Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.
- Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.
- Develop and optimize ETL/ELT processes to ensure data integrity and scalability.
- Create automated dashboards and reporting tools using BI platforms (e.g., Power BI, Tableau) to track financial and operational performance.
- Integrate BI tools with enterprise systems (ERP, CRM) for unified data access.
- Partner with finance, product, and technology teams to refine assumptions, validate models, and align BI solutions with business objectives.
- Present insights and recommendations to senior executives in a clear, structured format.
- Implement data governance standards, metadata management, and ensure compliance with organizational policies.
- Mentor junior analysts and engineers, fostering a culture of continuous learning and innovation.
What You’ll Bring
Education & Experience
- Bachelor’s degree in Finance, Economics, Data Science, or related field; advanced degree (MBA, CFA, CFP or equivalent) is a plus.
- 7+ years of combined experience in financial analysis and BI/data engineering roles.
Technical Skills
- Advanced proficiency in Excel and financial modelling.
- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.
- 3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).
- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.
- Familiarity with SaaS metrics (ARR, NRR, CAC, LTV, churn) and valuation concepts.
Soft Skills
- Exceptional problem-solving ability and attention to detail.
- Ability to communicate complex technical and financial concepts clearly to non-technical stakeholders.
- Proven track record of ownership, adaptability, and delivering results in fast-paced environments.
What We’re Looking For
- A critical thinker who thrives at the intersection of finance and technology.
- Strong quantitative mindset with the ability to design scalable BI solutions.
- Highly motivated self-starter with an ownership mentality and a bias for execution.
Lead Quantitative BI Analyst, Business Intelligence in Ivybridge employer: Solera
At Solera, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work culture that empowers our team members to thrive. As a Business Development Director in the Commercial Fleet sector, you will have access to unparalleled growth opportunities, a collaborative environment, and the chance to influence the future of our cutting-edge products. Located in a vibrant international setting, we are committed to fostering talent and providing the resources necessary for your success while driving meaningful change in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Quantitative BI Analyst, Business Intelligence in Ivybridge
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Solera!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Lead Quantitative BI Analyst, Business Intelligence in Ivybridge
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Solera, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Solera
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Solera’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
