DSO Energy Scheduler & Analytics (Hybrid)

National Grid

West of England

Hybrid

GBP 42,000 - 54,000

Full time

6 days ago
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Benefits offered by this job

26 days leave + 8 bank holidays
Contributory pension scheme
Annual Share Save plan
Private healthcare for you and family
Employee Assistance Programme
Free on-site parking

Job summary

National Grid Electricity Distribution (NGED) invites applications for an Energy Operations Analyst (Scheduling) in Bristol, available for up to 2 years. You will operate scheduling of flexibility services, report on outcomes, and work with EMC Engineers and the DNO Control team to protect network security and supply.

The ideal candidate will use MS Excel (Power Query), Python scripting, and SQL (SQL Server/ SQLite). This hybrid role offers office and home working after training.

Qualifications

  • Advanced MS Excel including Power Query.
  • Scripting or data processing in Python.
  • Querying Microsoft SQL Server and SQLite databases.

Responsibilities

  • Operate key functions related to the efficient scheduling and instruction of flexibility services.
  • Communicate identified flexibility shortfalls to EMC Engineers and DNO Control, to ensure network capability and security of supply.
  • Analysis and reporting related to the scheduling and instruction of flexibility services.
  • Support the Head of DSO Operations and EMC Engineers in the development of tools and processes to improve the scheduling and instruction of Flexibility Services.
  • Coordinate with the Flexibility Markets Team on initiatives that seek to improve the performance of flexibility delivery.

Skills

Excel Power Query
Python scripting
SQL Server / SQLite

Job description

National Grid Electricity Distribution (NGED) invites applications for an Energy Operations Analyst (Scheduling) in Bristol, available for up to 2 years. You will operate scheduling of flexibility services, report on outcomes, and work with EMC Engineers and the DNO Control team to protect network security and supply.

The ideal candidate will use MS Excel (Power Query), Python scripting, and SQL (SQL Server/ SQLite). This hybrid role offers office and home working after training.

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