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- Tasks: Join us as a Business Data Analyst to transform MI processes and data management.
- Company: We're a leading insurer focused on innovative data solutions.
- Benefits: Enjoy hybrid working options and competitive day rates outside IR35.
- Why this job: Be part of a dynamic team driving impactful data transformation in the insurance sector.
- Qualifications: Experience in insurance or financial services with a background in data analysis is essential.
- Other info: This is a 6-month contract role, perfect for those looking to make a difference.
I’m helping an insurer find an MI Data Business Analyst to join them on a data transformation which will involve changing the MI processes, data governance, data management and DWH.
The role will involve:
- Requirements gathering
- Documentation
- Data analysis
- Process mapping
- UAT
They are seeking someone with a background within insurance or FS as a BA who has worked on data transformation. The role will be hybrid working between Gloucester and remote. This role is for an initial 6 months and will be a day rate which is outside IR35. If you are interested then please apply.
Business Data Analyst employer: JSS Transform
Contact Detail:
JSS Transform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data transformation processes used in the insurance sector. Understanding how MI processes, data governance, and data management work in this context will give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the insurance and financial services sectors. Engaging with industry contacts can provide insights into the role and may even lead to referrals, which can be incredibly beneficial for landing the job.
✨Tip Number 3
Brush up on your skills in requirements gathering and documentation. Being able to demonstrate your proficiency in these areas during interviews will show that you are well-prepared for the responsibilities of the role.
✨Tip Number 4
Prepare for potential questions about UAT (User Acceptance Testing) and process mapping. Having clear examples from your past experience will help you articulate your expertise and how it aligns with the needs of the insurer.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Business Data Analyst, especially in the context of data transformation within the insurance sector. Highlight your relevant experience in MI processes, data governance, and data management.
Tailor Your CV: Make sure your CV reflects your background in insurance or financial services. Emphasise your experience with requirements gathering, documentation, data analysis, process mapping, and UAT to align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the data transformation process and how your skills can contribute to the insurer's goals. Be specific about your past experiences and how they relate to the role.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or inconsistencies. A polished application demonstrates attention to detail, which is crucial for a Business Data Analyst.
How to prepare for a job interview at JSS Transform
✨Understand the MI Processes
Make sure you have a solid grasp of Management Information (MI) processes. Be prepared to discuss how you've previously contributed to or improved these processes in your past roles, especially within the insurance or financial services sectors.
✨Showcase Your Data Governance Knowledge
Familiarise yourself with data governance principles and practices. Be ready to explain how you've implemented or adhered to data governance frameworks in your previous positions, as this will be crucial for the role.
✨Prepare for Requirements Gathering Scenarios
Think of examples where you've successfully gathered requirements from stakeholders. Practice articulating your approach to documentation and how you ensure that all necessary information is captured accurately.
✨Demonstrate Your Analytical Skills
Be prepared to discuss specific data analysis techniques you've used in the past. Highlight any tools or methodologies you're familiar with, and consider bringing examples of your work to illustrate your analytical capabilities.
