Data Analyst Trainee (Entry Level) Full Time

A Data Analyst assists us in processing, analysing and synthesising information related to the Insurance markets globally.

Together with senior leaders of the firm based in London, you will:

• Identify, analyse and interpret patterns from data sets using statistical methods.
• Acquiring data from internal as well as secondary data sources.
• Cleaning and filtering data, assessing data quality and create concise end product.
• Over time, you will be expected to contribute to the further development of our team by coaching less experienced colleagues.

Desired Skills

• A university degree from reputed Indian or International universities with a record of academic excellence.
• An awareness and interest in economic, financial and general business concepts and terminology.
• Excellent written and verbal command of English.
• Strong problem-solving, analytical and quantitative skills.
• A professional attitude and service orientation with the ability to work with London based international team.

WHY YOU DO NOT WANT TO MISS THIS CAREER OPPORTUNITY?

• Work for a Company that will revolutionise the Risk industry.
• Work closely with senior leaders who have individually served a number of CEOs at Fortune 100 companies globally.
• Capitalise on an unparalleled career progression opportunity.
• Build skills in an industry with a significant growth potential (both in India and globally).
• Learn structured problem-solving and pyramid-based communication skills.
• Any Fresher can apply.

Skills: statistics,data warehousing,teamwork skills,sas,economic concepts,excel,data cleaning,tableau,business intelligence,financial concepts,data architecture,data mining,big data technologies,data wrangling,quantitative skills,data analysis,academic excellence,data management,data governance,problem-solving skills,data ethics,sql,data quality assessment,analytical skills,data visualization,machine learning,power bi,english language,coaching,data modelling,statistical methods,data storytelling,business concepts,python,spss,service orientation,data filtering,data quality,r,cloud computing