Data Analyst

Data Analyst Remote

Admiral
Full Time Remote 10.56 - 12.04 GBP Today
Job description

Data and technology take centre stage in delivering Admiral’s market-leading products, and we have a large Advanced Analytics function that builds and deploys machine learning and artificial intelligence solutions for all business areas, including Pricing, Marketing, and Claims.

However, we don’t like to stand still and with over 4 million interactions with our customers every day, we have a lot of data that can be put to good use. Now that we have an established, experienced function, we are focusing on growth, and looking for a Data Analyst to join our Text Analytics team.

The Role

The role sits within the Text Analytics team where we carry out analysis of text data sources. Our focus is on building a robust and scalable text analytics pipeline and improving analytics on existing data sources, whilst also exploring new data sources. You will have a chance to make a significant impact on our success by improving upon existing processes, building reports and dashboards to support this and working closely with operational areas to ensure maximum functionality is being extracted.

About you

We are looking for an enthusiastic, logically minded individual, who can think creatively around a brief. You must have a keen interest in programming and analytics, with good problem-solving skills. You’ll need to be comfortable working independently or as part of a team, developing code to a high standard.

Responsibilities

Your role will include:

  • Taking responsibility for management and delivery of customer departments’ reporting and case management needs, liaising with them and other relevant stakeholders.
  • Creating new, and improving upon existing, regex categorisation of text-based feedback.
  • Supporting ad-hoc stakeholder requests for analysis of survey results.
  • Developing an in-depth understanding of our text analytics pipeline enabling you to effectively troubleshoot and improve the process.
  • Testing the impact of code changes in a development environment.
  • Designing, developing, and integrating new reports and dashboards for text analytics output using Looker. Presenting analytical findings in clear and concise manner.
  • Collaborating in migrating existing processes to GCP.
  • Exploratory data analysis on new data sources.

Skills and experience

Essential:

  • Experience with R or Python programming
  • Excellent communication skills with the ability to tailor communication across a range of technical and non-technical audiences
  • Strong problem-solving skills
  • Attention to detail

Desirable:

  • Experience in Data Analytics, Customer Analytics, Data Insight, Data Science or Data Engineering
  • Experience creating dashboards in a reporting tool (Looker or other)

Salary, Benefits and Work-Life Balance

We do not have a set salary for this position, as it will be dependent on the successful candidate’s experience. We are happy to see CVs from all candidates who meet the requirements and will be happy to discuss the remuneration package.

At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we’re consistently voted one of the Sunday Times Best Big Companies to work for in the UK. We want you to have an element of freedom to define a working lifestyle that supports this, so accommodate flexible hours wherever possible.

All colleagues will receive 33 days holiday (including banks holidays) when they join us, and this will increase with length of service, up to a maximum of 38 days (including banks holidays). You also have the option to buy or sell up to five days of annual leave in addition to your allocation.

You can also view some of our other key benefits here

#LI-TP1

#LI-Hybrid

Data Analyst
Admiral

www.admiraljobs.co.uk
Cardiff, United Kingdom
Milena Mondini de Focatiis
$2 to $5 billion (USD)
10000+ Employees
Company - Public
Insurance Carriers
Insurance
1993
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