Pricing Analyst (retail energy)

Utility People ,
Manchester, Greater Manchester
More Details
Job Type: Full-time
Salary: £40,000 per annum

Overview

Role: Pricing Analyst (retail energy) Location: Manchester Salary: £40k DOE excellent benefits package Role Purpose: Do you have experience developing Pricing Models for an energy supplier , with a good understanding of pricing, costing and tariffs ? Working for a large energy supplier in Manchester, the Pricing Analyst, will ensure the accurate pricing of all non-commodity elements in the UK, developing new, dynamic and innovative models to ensure the business remain competitive in the marketplace whilst covering all costs and risks associated with supplying energy to a wide range of customers. In addition, the analyst will develop the company’s analytics capability in order to better inform business decisions moving forward. Apply today for this amazing opportunity as a Pricing Analyst Job Responsibilities: Ensure all non-commodity costs are priced accurately across both gas and electricity Build/improve robust pricing models to predict future non-commodity price changes and risk Develop/improve pricing methodologies to mitigate risks whilst ensuring competitiveness Management of renewable certificate positions and optimisation Support Sales and internal teams with regards to systems and product propositions Implement analytics manipulating large data sets to provide detailed MI to management Identify improvements to processes between Commercial Operations and other teams Manage and build on relationships with key internal stakeholders Experience Required: Strong analytical skills and entrepreneurial attitude Excellent interpersonal skills; able to deal effectively with queries and build relationships Initiative to propose solutions and to take independent action Excellent IT skills; VBA/SQL/Python would be beneficial Excellent attention to detail and a high level of accuracy in all areas of work Initiative to propose solutions and to take independent action Able to prioritise workload in a busy and challenging landscape Previous experience in the energy industry Relevant statistical and modelling experience would be beneficial Educated to degree level or equivalent qualification or commensurate work experience

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