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Commercial Data Analyst

Lorien
Posted 16 hours ago, valid for a month
Location

Basingstoke, Hampshire RG22 4UY

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Motor Vehicle Manufacturing client is seeking a Commercial Data Analyst for a 3-month contract that may lead to a permanent position.
  • The role involves analyzing contact center performance and producing reports to support retention performance optimization.
  • Candidates should have strong problem-solving skills, experience in data manipulation, and familiarity with tools like Excel, SQL, and Power BI.
  • A degree in a relevant field is preferred, along with a minimum of 2 years of experience in a similar analytical role.
  • The position offers a competitive salary of £40,000 per year, with a hybrid working model requiring 2 days in the office each week.

Commercial Data Analyst

3 Month Contract - temp to perm

Hybrid - 2 days a week in the office

Our Motor Vehicle Manufacturing client is looking for a Commercial Data Analyst to join them on a initial 3-month contract, with the possibility to go into a permanent position. This role will be delivering analysis to support retention performance optimisation, producing reports and models to aid informed decision making and enhance customer outcomes.

Responsibilities:

  • Analyse inbound & outbound contact centre performance
  • Work with marketing & contact centre colleagues to measure performance of retention initiatives.
  • Support the creation and maintenance of dashboards and reports that are easily understandable for the team and wider stakeholders.
  • Support the commercial and marketing teams to better understand drivers of retention.
  • Help review raw data structure to ensure reporting accuracy and data integrity.

Requirements

Capability, Knowledge and Experience:

  • Strong problem-solving skills - including evidence of using appropriate analytical techniques and draw conclusions from these to solve a range of business problems and to be able to organise, filter and augment data appropriately
  • Highly numerical with experience in logical thinking and communicating complex topics
  • Ability to learn new skills quickly and apply them quickly in new situations
  • Ability to work under pressure and use judgment to provide appropriate answers within required timescales
  • Experience with data manipulation and relevant analytical tools, which could include Excel, SQL, Python, Databricks and Power BI.

Education and Qualifications:

  • Preferably, a degree level qualification or equivalent within a relevant commercial or analytical subject area (e.g. maths, science, engineering)

Personal Characteristics:

  • Driven individual, with the passion and energy to improve the business
  • A curious mindset and a willingness to get stuck into the data to answer business questions
  • Demonstrable appetite to broaden knowledge and develop skills
  • An extremely well organised and disciplined approach, with the ability to manage and prioritise multiple tasks
  • An excellent team player, with a positive attitude, great attention to detail and a creative thinker

To apply for this position please submit your CV.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.