At a Glance
- Tasks: Analyse data, create dashboards, and communicate insights to enhance client service.
- Company: Join a fast-growing financial services company making waves in the insurance sector.
- Benefits: Enjoy hybrid work options and a competitive salary of £65,000.
- Other info: Opportunity to lead projects and promote Agile practices in a dynamic team.
- Why this job: Shape the company's data strategy while working with global teams in an innovative environment.
- Qualifications: Strong knowledge of PowerBI, SQL, and familiarity with the insurance industry required.
The predicted salary is between 52000 - 78000 £ per year.
Direct message the job poster from Forsyth Barnes
I partner with the fastest-growing FinTech organisations, connecting them with top Data & AI talent within the UK & US market.
Permanent Job Alert:
Title: Data Analyst
Location: London, Hybrid
Brief Overview:
Our client, a fast-growing company in the financial services sector, is seeking a Data Analyst to support its continued expansion. The ideal candidate will bring a strong understanding of the insurance industry, along with hands-on experience in delivering end-to-end data solutions-such as building data lakes, developing ETL processes, and deploying data visualization tools.
Working closely with global teams and reporting to the Group Data Lead, the Data Analyst will play a key role in shaping and executing the company's data strategy, enabling more efficient and effective client service.
JOB Responsibilities:
- Perform statistical analysis and data modeling
- Clean, analyse, and interpret data from multiple sources
- Communicate insights to both technical and non-technical audiences
- Ensure data quality through governance and regular checks
- Design and implement data pipelines, ETL processes, and dashboards
- Apply knowledge of analytics, AI, and cloud technologies
- Work with varied data products and data lake architectures
- Coordinate projects with internal teams and external vendors
- Communicate complex ideas clearly and simply
- Promote Agile and Lean practices across teams
JOB Requirements:
- Deep knowledge of PowerBI
- Deep knowledge of SQL
- Good knowledge of Power Automate
- Good knowledge of Paginated Reports
- Familiarity with Microsoft Fabric
- Familiarity with Insurance Industry
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Insurance
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Data Analyst (Ref: 188228) in London employer: Forsyth Barnes
Forsyth Barnes is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As the Head of Delivery, you will not only lead transformative projects in critical sectors like Utilities and Energy but also benefit from extensive professional development opportunities and a competitive salary package. Join us to make a meaningful impact while working alongside talented professionals in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Ref: 188228) in London
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in data analytics, especially those relevant to the insurance industry. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the insurance and data analytics sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter and its approach to data solutions.
✨Tip Number 3
Brush up on your PowerBI and SQL skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your ability to create data visualisations and manage databases effectively.
✨Tip Number 4
Prepare to discuss your experience with ETL processes and data governance. Be ready to share specific examples of how you've ensured data quality and contributed to successful project outcomes in previous roles.
We think you need these skills to ace Data Analyst (Ref: 188228) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data analysis, particularly in the insurance industry. Emphasise your skills in PowerBI, SQL, and any relevant projects that showcase your ability to deliver end-to-end data solutions.
Craft a Compelling Cover Letter:In your cover letter, explain why you are interested in the Data Analyst position and how your background aligns with the company's goals. Mention specific experiences where you've successfully implemented data pipelines or visualisation tools.
Showcase Relevant Projects:If you have worked on projects involving data lakes, ETL processes, or statistical analysis, include these in your application. Use quantifiable results to demonstrate your impact and effectiveness in previous roles.
Prepare for Technical Questions:Anticipate technical questions related to data analysis, SQL queries, and PowerBI functionalities. Be ready to discuss your approach to data quality governance and how you communicate insights to diverse audiences.
How to prepare for a job interview at Forsyth Barnes
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in PowerBI, SQL, and Power Automate during the interview. Prepare examples of how you've used these tools in past projects, especially in the context of data analysis and visualisation.
✨Understand the Insurance Industry
Since the role is within the insurance sector, brush up on industry-specific terminology and trends. Being able to discuss how data impacts decision-making in insurance will demonstrate your commitment and understanding of the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work with data. Be ready to discuss how you would approach cleaning and analysing data from multiple sources or designing an ETL process.
✨Communicate Clearly
You'll need to convey complex data insights to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than just the technical details.
