Data Analyst
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:
- Managing and implementing migration of existing processes to GCP; including refactoring code, code translation from R to Python and writing unit testing.
- Following our department best practices for writing and documenting code.
- Developing an in-depth understanding of our text analytics pipeline enabling you to identify areas and opportunities for design changes, development and efficiencies.
- Testing the impact of code changes in a development environment.
- Creating new, and improving upon existing, regex categorisation of text-based feedback.
- Troubleshooting our scheduled processes & improving upon error logging.
- Exploratory data analysis on new data sources.
- Designing, developing, and integrating new reports and dashboards for text analytics output using Looker.
Skills and experience
Essential:
- Skilled in both R and Python programming.
- 1+ years’ experience working in a Data Analytics, Customer Analytics, Data Insight, MI, Software Development or Data Engineering Team in a business setting.
- Attention to detail.
- Strong problem-solving skills.
- Excellent communication skills with the ability to tailor communication across a range of technical and non-technical audiences.
Desirable:
- Experience of unit testing and integration testing.
- Experience creating dashboards in a reporting tool (Looker or other).
Interview Process
A pricing test, followed by a 2 stage interview.
Please note - we may close this vacancy early if we receive a high number of applications or business priorities change.
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.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.