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Data Analyst

Cardiff

  1. Full time

Closing date

23/05/2024

About the job

"

This vacancy has now expired. Please see similar roles below...

"

Working within the Customer Data department, the Data Analyst will support the delivery of existing and new initiatives across the customer operations area. The department comprises of three teams:

  • Operations MI: We deliver key reports to the operational areas that both measure their day-to-day and high level KPIs tracking everything from answer rate and agent incentive, to policy sales and retention metrics.
  • Contact MI: We are primarily interested in the customer contact journey, whether they speaking to agents directly, or self-serving online, we drive performance and change through these systems to help personalise customers journeys to their individual needs, whilst optimising operational costs.
  • Value Analysis: We focus on optimisation and facilitating A/B tests throughout the customer area to help derive insight and drive future change. We’re interested in how we can use data to improve processes and deliver better customer outcomes.

You will be required to: 

  • Create regular reporting and dashboards to support decision making across the business on all strategic objectives;
  • Manage the ad-hoc and regular reporting, whilst providing useful insights to key stakeholders;
  • Highlight opportunities for improvement in customer journeys, identifying trends and forecasts to exploit for operations and customer benefit;
  • Cooperate with management and business stakeholders, presenting analysis and insight;
  • Think creatively and identify ways to improve reporting, including better ways to present data;
  • Maintain alignment with best practice use on analysis software such as Big Query and SAS;
  • Familiarize and become expert in third party data sources used within the team;
  • Seek alternate data sources to inform the customer and contact strategy adopted.

Experience

  • Experience of providing data and analysis in a user friendly manner;
  • Ability to analyse data and provide operational and strategic insight;
  • Excellent attention to detail;
  • Organised and diligent in approach;
  • Good communicator with excellent written and verbal communication skills;
  • Pro-active in approach to work;
  • Ability to work independently as well as able to feed into wider team work.

Key Attributes

  • Ability to align data requirements to necessary outputs;
  • Align day to day changes to overarching contact and customer strategies;
  • Escalate concerns and challenges clearly;
  • Adopt an attitude of continuous improvement.

Interview Process

This will involve a one 60 minute interview via MS Teams.

Location 

For Hybrid workers (within a 50-mile radius of our Cardiff HQ) there is an expectation to work from the office twice a month.  For remote workers (outside of a 50-mile radius of our Cardiff HQ) there is an expectation to attend the office a handful of times a year when required (i.e big meetings, workshops etc).

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.

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