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Data Analyst - Reinsurance

TN United Kingdom

London

Hybrid

GBP 40,000 - 80,000

Full time

Today
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Job summary

An established industry player is seeking a Reinsurance Data Analyst to play a crucial role in preparing and analyzing data. This exciting opportunity involves resolving data issues, automating workflows, and ensuring data integrity. You will collaborate with teams to optimize data handling and provide detailed reports to stakeholders. With a focus on fostering internal relationships and suggesting improvements, this role is perfect for someone passionate about data analysis. Join a forward-thinking company that values your contributions and offers a supportive environment for your career growth.

Benefits

Bonus schemes rewarding performance
Up to 12% pension contributions
Vitality health insurance
Life Assurance (4x annual salary)
Flexible work arrangements

Qualifications

  • 4-5+ years of experience as a data analyst in reinsurance operations.
  • Proven track record in automating data processes and managing large datasets.

Responsibilities

  • Prepare and analyze reinsurance data for accuracy and consistency.
  • Automate manual processes to improve efficiency and reduce errors.

Skills

Data Analysis
Python
SQL
R
Microsoft Excel

Education

Bachelor’s degree in a technical field

Tools

Database Management

Job description

Below is a refined version of the job description with improved formatting, removal of redundancies, and enhanced clarity:

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Working Pattern: Hybrid – 2 days per week in the Vitality London Office. Full-time hours.

Top 3 Skills Needed:
  • Bachelor’s degree in a technical field (actuarial, mathematics, economics, engineering, computer science)
  • Experience analyzing data using programming languages such as Python and R
  • Experience querying and manipulating large datasets in SQL
Role Overview:

The Reinsurance Data Analyst will be pivotal in preparing and analyzing reinsurance data, ensuring accuracy and consistency. Responsibilities include resolving issues with existing processes, automating workflows, enhancing data integrity, and providing detailed reports to stakeholders. The role requires fostering internal relationships, suggesting improvements, and collaborating with the team to optimize data handling and analysis practices.

Key Responsibilities:
  • Manage database schema design and data management processes
  • Prepare and analyze reinsurance data for accuracy and consistency
  • Identify and resolve issues with data processes
  • Automate manual processes to improve efficiency and reduce errors
  • Ensure data integrity through documentation and audit trails
  • Provide detailed reports to senior leadership and stakeholders
  • Collaborate with internal teams to foster relationships and ensure effective data handling
  • Suggest and implement process and system improvements
  • Work with large datasets (over 1 million rows and 100+ columns)
Essential Skills:
  • Bachelor’s degree in a relevant technical field
  • 4-5+ years of experience as a data analyst
  • Experience in reinsurance operations or similar fields involving complex data analysis
  • Proven track record in automating data processes, improving data quality, and managing large datasets
  • Proficiency in Microsoft Excel (pivot tables, VLOOKUP, etc.)
  • Intermediate to advanced skills in Python, SQL, and R
  • Familiarity with database management and schema design
What’s in it for You?
  • Bonus schemes rewarding performance
  • Up to 12% pension contributions (company matches up to 6%)
  • Vitality health insurance with rewards and benefits
  • Life Assurance (4x annual salary)

And much more! Visit our careers page for the full range of benefits.

Our Promise to You:
  • Help you achieve your best health
  • Create an inclusive environment where you can be yourself
  • Flexible work arrangements
  • Support your career growth
  • Empower your voice in our business
  • Encourage learning through trial and error
  • Balance challenge with support
  • Recognize and reward with competitive salary and benefits
  • Support when you need us
  • Opportunities to contribute positively to society

We want you to feel a sense of belonging and be supported to be happy and healthy.

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