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For Companies At a Glance
- Tasks: Help build a top-notch data and analytics framework for decision-making.
- Company: Join a leading insurer known for innovation and growth.
- Benefits: Enjoy a hybrid work model with 3 days in the office.
- Why this job: Be part of a dynamic team driving data excellence in the insurance sector.
- Qualifications: Strong GCP expertise and insurance experience are essential.
- Other info: Perfect for analysts looking to advance their careers in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Finitas are working with a leading insurer on their search for a Data & Analytics Solutions Consultant. You will be responsible for establishing a high-performing data and analytics technology framework, aligning with strategic goals and enabling data-driven decision-making across the organization.
This role works closely with stakeholders, developers, and third-party partners to promote best practices in data architecture and business intelligence solutions.
Skills & Experience
- Strong expertise in GCP
- Insurance background
This is an excellent opportunity for a current analyst to continually grow with a well-established insurance provider.
Data & Analytics Solution Consultant employer: Finitas
Contact Detail:
Finitas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Solution Consultant
✨Tip Number 1
Familiarise yourself with Google Cloud Platform (GCP) and its applications in the insurance sector. Understanding how GCP can enhance data analytics will give you an edge during discussions with potential employers.
✨Tip Number 2
Network with professionals in the insurance industry, especially those who work with data analytics. Attend relevant meetups or webinars to build connections and gain insights into current trends and challenges in the field.
✨Tip Number 3
Showcase your ability to collaborate with stakeholders by preparing examples of past projects where you successfully aligned data solutions with business goals. This will demonstrate your understanding of the role's requirements.
✨Tip Number 4
Stay updated on best practices in data architecture and business intelligence. Being knowledgeable about the latest tools and methodologies will help you stand out as a candidate who can drive innovation within the organisation.
We think you need these skills to ace Data & Analytics Solution Consultant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data & Analytics Solution Consultant. Familiarise yourself with the key skills required, such as expertise in GCP and an insurance background.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in data architecture, analytics frameworks, and any previous work in the insurance sector.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your ability to collaborate with stakeholders. Mention specific examples of how you've promoted best practices in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise to make a strong impression.
How to prepare for a job interview at Finitas
✨Showcase Your GCP Expertise
Make sure to highlight your experience with Google Cloud Platform (GCP) during the interview. Be prepared to discuss specific projects where you've successfully implemented GCP solutions, as this will demonstrate your technical proficiency and relevance to the role.
✨Understand the Insurance Landscape
Familiarise yourself with the current trends and challenges in the insurance industry. Being able to discuss how data analytics can address these issues will show that you understand the business context and can contribute effectively to the organisation's goals.
✨Prepare for Stakeholder Engagement
Since the role involves working closely with various stakeholders, think of examples where you've successfully collaborated with different teams. Be ready to explain how you communicate complex data concepts to non-technical audiences, as this is crucial for promoting best practices.
✨Demonstrate a Data-Driven Mindset
Emphasise your ability to make data-driven decisions. Prepare to discuss how you've used data analytics to influence business outcomes in previous roles. This will illustrate your alignment with the company's focus on enabling data-driven decision-making.
