At a Glance
- Tasks: Lead discovery sessions and gather requirements for Pega solutions in the insurance sector.
- Company: Join a dynamic team in Manchester, focused on innovative insurance solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a collaborative environment.
- Why this job: Be the key link between teams and drive impactful projects in the insurance industry.
- Qualifications: Experience with Pega applications and strong communication skills are essential.
The predicted salary is between 70000 - 85000 £ per year.
We are seeking an experienced Senior Business Analyst with expertise in Pega applications, Insurance, and Complaints Management within the European market. The ideal candidate will have a strong understanding of European insurance regulations, compliance requirements, and complaint handling frameworks.
This role will act as the key liaison between business stakeholders, customer delivery teams, and internal delivery teams to ensure successful delivery of compliant and scalable Pega solutions. The candidate will lead discovery sessions with business users and operational teams, gather and analyze requirements, document business processes, write detailed JIRA user stories, and drive backlog grooming and refinement activities.
They will work closely with Pega Architects, Pega Developers, Project Managers, Product Owners, and Compliance teams throughout the project lifecycle.
Pega Senior Business Analyst in Manchester employer: Infinity Quest
As a leading employer in the heart of Manchester, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer extensive training opportunities and career progression paths, ensuring that our team members can grow alongside the company. Our commitment to work-life balance and employee well-being, combined with our dynamic projects in the insurance sector, makes us an exceptional place for talented individuals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Pega Senior Business Analyst in Manchester
✨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 Infinity Quest!
✨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 Pega Senior Business Analyst in Manchester
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 Infinity Quest, 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 Infinity Quest
✨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 Infinity Quest’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.
