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Senior Analyst (Contract) - Remote

London
£400 - £500 per day
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SENIOR ANALYST (CONTRACT)
£400-500/DAY, 6-12 MONTHS
LONDON / REMOTE

One of the world's leading Insurance Brokers is looking to add a Senior Analyst to their teams to solve data issues & help with the provision of Data Science & Predictive Modelling. They want someone with skill in SQL querying, knowledge of SAS coding & experience within the industry to join them on this exciting journey.

THE COMPANY:

This client is a major player in the Insurance market, operating in dozens of countries, with millions of clients. This particular role sits within their Business Insurance arm, where they've been leading the way in the company's Data revolution.

THE ROLE:

As a Senior Analyst you will be responsible for performing investigations into data issues as they come up, discovery of data sources and querying the dataset.

In specific, you can expect to be involved in the following:

  • Performing data exploration of the SQL / SAS datasets
  • Querying the database to provide answers to business questions
  • Preparing clean, accurate data for the Data Scientists to use in Predictive Modelling
  • Documentation of the solution, mapping specifications and data flows as required

YOUR SKILLS AND EXPERIENCE:

The successful Senior Analyst will have the following skills and experience:

  • Strong SQL querying skills and experience working in SAS environments
  • Experience working with and abiding by regulation agency data policy
  • Clear skill understanding requirements and the presentation of data for use by Data Scientists
  • Experience automating and performance tuning BI solutions

Strong experience in Insurance would be highly advantageous.

THE BENEFITS:

The successful Senior Analyst will receive between £400-500 per day for the initial 6-12 month period.

HOW TO APPLY:

Please register your interest by sending your CV to Joseph Pyne via the Apply link on this page.

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How Are Data & Analytics Professionals Mapping COVID Trends With Data?

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Amy Topcakan

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Over the past few years, the uptick in the number of companies putting more budget behind digital transformation has been significant. However, since the start of 2020 and the outbreak of the coronavirus pandemic, this number has accelerated on an unprecedented scale. Companies have been forced to re-evaluate  their systems and services to make them more efficient, effective and financially viable in order to stay competitive in this time of crisis. These changes help to support internal operational agility and learn about customers' needs and wants to create a much more personalised customer experience.  However, despite the vast amount of good these systems can do for companies' offerings, a lot of them, such as AI and machine learning, are inherently data driven. 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