Assistant Analyst

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  • Location

    Glasgow, Scotland

  • Sector:

    Energy Sector

  • Job type:


  • Salary:


  • Contact:

    Molly Stephen

  • Contact email:


  • Job ref:


  • Published:

    about 1 month ago

  • Duration:

    12 Months

  • Expiry date:


  • Start date:


  • Client:


Our client a leading Renewable Energy company are currently recruiting for an Assistant Analyst on a 12-month contract basis based in Glasgow.

Full Driving Licence as remote base location

Accountability Statements

Assist in the identification of operational performance trends and communicate these effectively to the appropriate functional areas of the Site Operations Team.

This will be an entry level role.

Assist in the creation of operational performance data to meet ad-hoc senior management requests

Perform essential regulatory data quality checks, on a monthly basis

Assist in the development and implement local Site Operations team operational data reporting systems to support asset management decision making and resource prioritisation.

Implement an associated series of operational performance reports

Provide operational data to support the operational insurance claim process

Staying abreast of new reporting and analysis techniques

Assist in the development of analytical tools

Assist with the Analysis and submission of data used with a direct impact on measured business performance

Verification of production data submitted to external regulatory bodies with a subsequent impact on operational compliance.

Skills, Knowledge & Experience

Strong analytical skills and proven track record.

Ability to analyse problems, providing creative solutions when required

Strong IT skills with a focus on analytical software: spreadsheets, etc

Creative approach to problem solving and ability to think laterally

Excellent data management skills

Excellent personal organisation and time management skills

Excellent report writing and presentation skills

Previous experience in a similar role/function involving operational data analysis