At a Glance
- Tasks: Lead complex data projects and provide advanced analytical support for business operations.
- Company: Join a diverse and inclusive team at Ryan Specialty in London.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Other info: Opportunity to mentor others and grow your career in a dynamic setting.
- Why this job: Make an impact by transforming data into actionable insights and driving business success.
- Qualifications: Bachelor’s degree or equivalent experience with 1+ years in statistical analysis or IT.
The predicted salary is between 35000 - 45000 £ per year.
Position Summary
The Data Analyst is responsible for analytic data needs of the business unit. Handle complex data projects and acts as a lead for other Data Analysts.
Location: London - UK - Fenchurch
Job Responsibilities
- Provide advanced analytical support for business operations in areas such as claims, client data, policy data, and external reporting.
- Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources.
- Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management.
- Develop reports and deliverables for management.
- Model data using MS Excel, Access, SQL, and/or other data warehouse analytical tools.
- Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis.
- Assist with training and mentoring other Data Analysts.
- Support Data systems as functional administrator evaluating new release functionality to include testing and implementation of new functionality.
- Perform other duties as assigned.
Work Experience and Education
- Bachelor’s degree in related field or equivalent experience.
- 1+ years of statistical analysis or 1+ years of related IT experience, including data warehouse, coding or ETL experience.
- Experience managing projects or heavy involvement in project implementation.
- Experience in Data Visualization and building dashboards using SQL.
- Experience with coding languages such as Python or R.
- Experience in underwriting analysis.
Licenses & Certifications
- Power BI Data Analyst Associate Certification (PL-300), or Tableau Certified Data Analyst a plus.
Skills
- Technical/Functional Skills: Business Analytics, Data Governance, SQL, ETL Pipelines, Coding, Data Warehouse, Dashboards, Data Visualization, Ad hoc Reporting, Tableau, Power BI.
- Behavioral Skills: Analytical Thinking, Customer Service Management, Effective Communication, Organizational Skills, Problem Solving, Time Management.
Data Analyst employer: Ryan Specialty
At Ryan Specialty, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Our commitment to employee growth is evident through comprehensive training programs and mentorship opportunities, ensuring that our Data Analysts not only excel in their roles but also advance their careers. With a focus on diversity and inclusion, we create an environment where every team member's contributions are valued, making it a truly rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to fellow Data Analysts or industry professionals on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to showcase your experience with SQL, Python, or data visualisation tools like Power BI or Tableau. We want you to impress them with your knowledge!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for openings that suit your skills and interests. We’re all about finding the right fit!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm and professionalism, which is exactly what employers are looking for.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, data visualisation tools like Power BI or Tableau, and any relevant projects you've managed. We want to see how your skills match what we're looking for!
Show Off Your Analytical Skills:In your cover letter, give us examples of how you've used your analytical thinking in past roles. Whether it's through data quality audits or developing reports, we love to see how you tackle problems and find solutions.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Ryan Specialty
✨Know Your Data Tools
Make sure you're familiar with the tools mentioned in the job description, like SQL, Excel, and any data visualisation software. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex data problems in previous roles. Be ready to explain your thought process and the impact your analysis had on business decisions. This will demonstrate your analytical thinking and problem-solving abilities.
✨Understand the Business Context
Research the company and its operations. Understand how data impacts their business model and be prepared to discuss how you can contribute to their goals. This shows that you're not just a data whiz but also someone who understands the bigger picture.
✨Practice Effective Communication
As a Data Analyst, you'll need to communicate findings clearly. Practice explaining complex data insights in simple terms. During the interview, focus on being concise and articulate, as this will highlight your organisational skills and customer service mindset.
