(Graduate) Pricing and Data Analyst

DataTech Search and Selection
Published
March 6, 2024
Location
Borehamwood, United Kingdom
Category
Job Type
Job Ref
J12743
Salary
Salary Negotiable to £30,000 DoE

Description

(Graduate) Pricing & Data Analyst
Salary Negotiable to £30,000 DoE
Hybrid working with 3 days in Borehamwood office/2 days home
Job Reference J12743

One of the UK's largest self-storage groups is looking for (Graduate) Pricing and Data Analyst. They are focused on constantly improving the revenue of the business as they continue to expand across Europe. The team is made up of highly skilled analysts in the areas of dynamic pricing, commercial analysis, and machine learning and AI. This role will be a crucial part of the team and focusses on implementation of analysis into their pricing models and algorithms to maximise revenue performance.

This role is great opportunity for a recent graduate to start their career path in a commercial and analytical role, with an opportunity to gain a breath of experience and learnings in areas of pricing, commercial analysis, and the latest data scientist techniques.

This role is based in their North London Head Office (Borehamwood) 3 days a week and does require your own transport to access them as public transport does not service the area well. The remaining 2 days can be spent in the office or working remotely whichever is your preference.

Key Accountabilities
• Take ownership of the pricing model used to set pricing across all countries:
oManage data flows into the pricing model ensuring accuracy and efficiency
oMaintain the integrity of pricing algorithms to ensure optimum pricing outcomes
oConstantly look for areas of the model where formulas or coding can be further refined and improved.
• Work with their data scientist to understand analytical outcomes and how these can be implemented in their pricing algorithms.
• Work with the Commercial analyst to understand how the pricing model is used and how further changes can make the model more effective from a commercial perspective
• Adapt the pricing models to work in new countries as they continue to expand across Europe
• Look for ways to make the integration of the pricing models into their trading system by liaising with their system developers.
• Be a key member of the team that develops the new models to drive rent increases to existing customers
• Attend regular meetings with the Commercial Director and CEO to discuss new ideas on how they approach their pricing, and then ensure these ideas are incorporated into the pricing models
• Develop an excellent understanding of relevant internal and external data sources used to drive pricing decisions.
• Develop MI reports with their external tableau consultants to support pricing analysis and decisions.

Experience & skills required
• A strong Bachelor's degree in a quantitative or statistical subject (Mathematics, Statistics or similar).
• An ability to learn advance Excel formulas and VBA coding
• Experience in programming and coding in a data rich environment.
• Some experience in database management, data manipulation, data extraction and formatting.
• Rigorous approach to work, as to ensure accuracy of outputs.
• Analytical minded with an ability to apply critical thinking to your own work and the work of others.
• Good communication skills to understand business needs of stakeholders, deliver findings and recommendations.

Additional Requirements:
Candidates must have an existing right to live and work in the UK.

If this sounds like the role for you then please apply today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk

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