How to apply for Market Analyst

About Modo Energy

Modo Energy is a fast-growing data analytics startup at the forefront of the renewable energy transition, specializing in optimizing grid-scale battery storage. Their unique focus on BESS (Battery Energy Storage Systems) revenue modelling and AI-driven insights sets them apart, offering a chance to work on cutting-edge technology that directly impacts the decarbonization of the grid.

About the role

As a Market Analyst, you'll build and ship BESS revenue models, train an AI analyst (Ko) to answer market questions, and maintain critical data products. This role is impactful because your work directly helps customers optimize battery storage operations, accelerating the adoption of renewables.

A typical day

You might start by checking data feeds for quality, then dive into a Python script to refine a BESS revenue forecast. After lunch, you’d review a new dataset and train Ko to answer questions about it, followed by a meeting with engineering to plan the next product release. The day ends with documenting model updates for customers on the Modo Terminal.

Who Modo Energy is looking for

• Comfortable building tools and workflows using AI, with a knack for training models like Ko to ingest and answer questions from datasets.
• 1+ years of experience in power markets, energy analytics, or a technical analyst role, with hands-on Python and SQL skills for complex data interrogation.
• Familiarity with battery energy storage or wider energy transition themes, understanding how BESS revenue models work.
• A product-minded, detail-oriented individual who can manage end-to-end release processes and communicate model updates clearly.

Tips for this application

• Tailor your resume to highlight experience with BESS or energy storage modelling, even if from academic projects or internships.
• Showcase a project where you used AI (e.g., trained a model or built a workflow) to solve a real data problem—mention Python and SQL explicitly.
• In your cover letter, demonstrate curiosity about Modo’s AI analyst Ko and propose a specific dataset you'd train it on.
• Research Modo’s current products (e.g., Modo Terminal) and mention how you’d improve a specific feature.
• If possible, include a link to a portfolio or GitHub with relevant code, especially if it involves energy data or AI workflows.

What to cover in your cover letter

['Emphasize your hands-on experience with Python and SQL in energy analytics or similar fields.', 'Express enthusiasm for training AI models and working with BESS revenue modelling.', 'Mention your ability to manage product releases and communicate technical changes to stakeholders.', 'Show alignment with Modo’s mission to empower renewable energy through data and AI.']

Research before applying

• Read Modo’s blog posts or reports on BESS revenue trends and the UK capacity market.
• Familiarize yourself with Modo Terminal’s current features, especially forecasting and benchmarking tools.
• Understand the basics of AI coaching—how Ko is currently trained and what datasets are used.
• Review recent changes in UK energy policy, such as the role of batteries in the Balancing Mechanism.

Likely interview topics

Based on the job description, expect questions about:

• Walk us through a BESS revenue model you've built or analyzed—how did you handle uncertainties?
• How would you train Ko to answer a new question about UK grid balancing services?
• Describe a time you debugged a data pipeline issue in production—what was your process?
• What key metrics would you track to ensure forecast quality for battery storage?
• How do you stay updated on UK power market regulations and their impact on BESS?

Common mistakes to avoid

• Don’t ignore the AI aspect—failing to mention experience with training or using AI models will hurt your application.
• Avoid generic energy experience without specifics on BESS or revenue modelling—this role is niche.
• Don’t submit a cover letter that doesn’t mention Modo’s products or Ko—it shows lack of research.