Data Analyst - Asset Optimisation in Gloucester

Data Analyst - Asset Optimisation in Gloucester

Gloucester Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse data to optimise renewable energy performance and identify market opportunities.
  • Company: Noriker Power, a leader in rapid response power systems with a focus on sustainability.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and environmental protection.
  • Why this job: Join a mission-driven team making a real impact in the renewable energy sector.
  • Qualifications: Degree in Physics or Mathematics with experience in statistical analysis.

The predicted salary is between 36000 - 60000 £ per year.

Noriker Power develops and optimises rapid response power systems. Through innovation and a strong motivation to protect the environment, Noriker has grown into a vertically integrated developer and service provider in this increasingly important market. We are looking for a Data Analyst with a strong foundation in Mathematics or Physics to help us optimise the performance of our renewable energy portfolio. As we scale our BESS assets, we need a practical analyst who can distil domain data into commercial results.

Key Responsibilities

  • Use mathematical frameworks to predict supply depth and market pricing, identifying market opportunities
  • Model optimal usage of battery assets using linear programming taking into account opportunity cost and physical characteristics of the asset
  • Model GB electricity system to create forward view of system constraints
  • Understand and model dynamics of all markets BESS participate in, including wholesale electricity, Balancing Services, Balancing Mechanism etc, to create optimised strategies for assets
  • Implement progressively deeper levels of optimisation taking into account real time performance, utilisation and machine state parameters

Requirements

  • A degree in Physics, Mathematics, Theoretical Physics, or a related field where you have spent time modelling physical systems in a UK university
  • Experience in Statistical Significance and Time-Series Analysis
  • Ability to handle Vector Calculus or Linear Algebra

Data Analyst - Asset Optimisation in Gloucester employer: Noriker Power

Noriker Power is an exceptional employer, offering a dynamic work environment where innovation meets sustainability in the renewable energy sector. With a strong commitment to employee development, we provide opportunities for growth and learning, ensuring our team members can thrive while contributing to meaningful projects that protect the environment. Located in a vibrant area, our collaborative culture fosters creativity and teamwork, making it an ideal place for passionate individuals looking to make a real impact.

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Contact Details:

Noriker Power Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Asset Optimisation in Gloucester

Tip Number 1

Network like a pro! Reach out to professionals in the renewable energy sector on LinkedIn. Join relevant groups and engage in discussions to get your name out there. We all know that sometimes it’s not just what you know, but who you know!

Tip Number 2

Prepare for those interviews! Research Noriker Power and understand their projects and values. We want you to show how your skills in Mathematics or Physics can directly contribute to optimising their renewable energy portfolio. Be ready to discuss your modelling experience!

Tip Number 3

Practice makes perfect! Brush up on your statistical significance and time-series analysis skills. We suggest working through some real-world data sets to demonstrate your analytical prowess. This will help you stand out when discussing your practical experience.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly. Don’t miss out on this opportunity to join a forward-thinking company like Noriker Power!

We think you need these skills to ace Data Analyst - Asset Optimisation in Gloucester

Mathematical Frameworks
Linear Programming
Statistical Significance
Time-Series Analysis
Vector Calculus
Linear Algebra
Data Modelling

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your background in Mathematics or Physics. We want to see how your skills can help us optimise our renewable energy portfolio, so don’t hold back on showcasing relevant projects or experiences!

Tailor Your Application:Take a moment to customise your application for the Data Analyst role. Use keywords from the job description and relate your experience to the specific responsibilities we’ve outlined. This shows us you’re genuinely interested and have done your homework!

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make your points easy to understand, and remember, less is often more!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Noriker Power

Know Your Maths and Physics

Brush up on your mathematical frameworks and physical modelling skills. Be ready to discuss how you've applied these in real-world scenarios, especially in relation to renewable energy or asset optimisation.

Understand the Market Dynamics

Familiarise yourself with the GB electricity system and the various markets BESS participates in. Prepare to explain how you would model these dynamics and identify market opportunities during the interview.

Showcase Your Analytical Skills

Be prepared to demonstrate your experience with statistical significance and time-series analysis. Bring examples of past projects where you’ve successfully used these techniques to drive results.

Think Optimisation

Since the role involves optimising battery assets, think about how you would approach this task. Discuss any experience you have with linear programming and how you would apply it to maximise performance and utilisation.