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Forecasting Analyst

Employer
Utility People
Location
UK
Salary
Competitive
Closing date
30 Jun 2022

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Sector
Technology & New Media
Contract Type
Permanent
Hours
Full Time
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Ref: JD-13822Role: Forecasting AnalystLocation: Hybrid - Leeds/Home-based (Minimum 2 days in the office)Salary: £25,000 - £30,000 DOE

Summary:

We are looking for a Forecasting Analyst to join a leading retail energy company. In this role you will provide analytical and operational support to the Demand Forecasting and Retail Hedging teams. As a Forecasting Analyst, you will ensure that data quality is kept at a high standard through analysing portfolio consistency and metered and forecast data. You will also forecast algorithm development, support the delivery of supply portfolio hedging activities, and ensure portfolio data is consistent with hedging and forecasting processes. To be successful in this role you must have a degree in a relevant subject or some experience in forecasting and have strong analytical and numerical skills. If this role sounds like the perfect fit for you, apply today!

Key responsibilities:
  • Development of forecasting models for customers with a view to improve performance
  • Ensure customers are set up in relevant systems and maintenance of portfolio data
  • Management of customer consumption data
  • Analysis of forecasting performance
  • Capacity data submission to system operator
  • Ensuring customer trade positions are up to date and consistent across all relevant systems
  • Ensuring forward trades and traded positions are consistent
  • Production of analysis to support development of hedging and optimisation strategies.
  • Production and development of hedging team KPI's
  • Support the delivery of Retail Profitability project

Skills and experience required:
  • Hedging or forecasting experience required
  • Degree level (or equivalent) in a relevant discipline or proven relevant industry experience
  • Able to demonstrate a practical approach to problem solving
  • Strong analytical skills
  • Highly numerate
  • Microsoft Office proficient, Python skills would be advantageous
  • Able to manage large sets of data
  • Proven ability to present information effectively.
  • Proven ability to organise and produce work under tight deadlines
  • Statistical analysis would be advantageous
  • Demonstrated ability to succeed in a complex environment.
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