Data Analyst

5 months ago

London, United Kingdom Vitality Full time

Team –  Actuarial - Life

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

Top 3 skills needed for this role:

Bachelor’s degree in a technical field ( actuarial, mathematics, economics, engineering, computer science) Experience of analysing data using programming languages such Python and R Experience of querying and manipulating large data in SQL

What this role is all about:

The Reinsurance Data Analyst will play a pivotal role in the preparation and analysis of reinsurance data, ensuring accuracy and consistency. This includes executing, identifying, and resolving issues with existing processes, automating processes, enhancing data integrity, and providing detailed reports to stakeholders. The role involves fostering internal relationships, suggesting improvements, and collaborating with the team to optimise and continuously improve data handling and analysis practices.

Key Actions

Manage database schema design and data management processes. Prepare and analyse reinsurance data, ensuring accuracy and consistency. Identify and resolve issues with existing data processes. Automate manual processes to enhance efficiency and reduce errors. Ensure data integrity through thorough documentation and auditability. Provide detailed and accurate reports to senior leadership and stakeholders. Collaborate with internal teams to foster relationships and ensure effective data handling. Suggest and implement improvements to data processes and systems. Work with large datasets (1 million+ rows, 100+ columns) to support reinsurance operations.

Essential Skills needed to fulfil this role:

Bachelor’s degree in a technical field (, actuarial, mathematics, economics, engineering, computer science). Minimum of 4-5 years of experience in a data analyst role. Experience in reinsurance operations or a similar field involving complex data handling and analysis. Proven track record of automating data processes, improving data quality, enhancing data integrity, managing large datasets, and implementing innovative data solutions. Proficient in Microsoft Excel (including pivot tables, VLOOKUP, and other relevant functions). Intermediate to high proficiency in Python, SQL, and R for data analysis and process automation. Familiarity with database management and schema design. So, what’s in it for you? Bonus Schemes – A bonus that regularly rewards you for your performance A pension of up to 12%– We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance – With its own set of rewards and benefits Life Assurance – Four times annual salary

These are just some of the many perks that we offer To view the extensive range of benefits we offer, please visit our careers page.  Fantastic Benefits. Exciting rewards. Great career opportunities

If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you’ve ever been. Create an environment that embraces you as you are and enables you to be your best self. Give you flexibility on how, where and when you work. Help you advance your career by playing you to your strengths. Give you a voice to help our business grow and make Vitality a great place to be. Give you the space to try, fail and learn. Provide a healthy balance of challenge and support. Recognise and reward you with a competitive salary and amazing benefits. Be there for you when you need us. Provide opportunities for you to be a force for good in society.

We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.

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