Junior Data Analyst, Trading
From data to a trading edge in real time.
About Covolt
Smart energy deserves smart people.
Covolt is a fast-growing, technology-driven player in the energy market, operating at the intersection of data, algorithmic decision-making, and real-time trading.
We develop and operate systems that translate energy and market data streams into immediate trading decisions and optimizations within the short-term power markets, including Day Ahead,
Intraday and ancillary services such as FCR and aFRR. In this environment, everything revolves around speed, accuracy, and data-driven edge computing.
Intraday price movements, day-ahead price signals, imbalance markets, and
Flexibility and reserve markets together form the foundation of our strategies. Covolt builds technology that converts these signals into automated trading actions, focusing on returns, risk, and scalability for our clients.
Within multidisciplinary teams, data analysts, data scientists, and trading specialists work together to develop systematic strategies and market models that create structural value in dynamic energy and commodity markets.
We are looking for a Junior Data Analyst who will directly contribute to the development, testing, and optimization of data-driven strategies across the entire short-term market.
About the Junior Trading Data Analyst Role
Data that drives decisions, not just describes them
Under the guidance of more experienced data analysts and data scientists, the Junior Data Analyst (Trading) is responsible for the development, implementation, and optimization of trading strategies within the short-term power markets (Day Ahead, Intraday, and ancillary services such as FCR and aFRR).
You will build and refine data-driven signals, pricing logic, and execution models that directly contribute to trading performance across multiple markets and time horizons.
You translate market data, order flow, and external data streams into actionable trading signals and systematic strategies, with a focus on P&L, risk, and execution efficiency.
You identify market inefficiencies in day-ahead optimization, intraday volatility, and balancing and reserve markets, and translate these into a repeatable, scalable trading edge.
Example of a Situation
From Analysis to Live Trading Impact
As part of your daily analysis of short-term market data, you will evaluate various trading strategies and related performance metrics, such as PnL, forecast accuracy, and execution quality.
You’ll notice that a specific trading model underperforms in certain time frames and market conditions, while similar conditions in the intraday, day-ahead, and balancing markets actually yield strong results. In the data, you’ll discover subtle patterns in price volatility, forecast errors, and order flow that aren’t fully accounted for in the current signal logic.
Instead of simply reporting this, you actively seek out the cause. You analyze historical data across multiple markets (Day Ahead, Intraday, and FCR/aFRR), test hypotheses, and compare different market regimes to understand where the inefficiency arises.
You conclude that part of the signal does not take sufficient account of differences in market structure and timing, resulting in structurally suboptimal positioning and missed trading opportunities.
You will develop this finding into an improved signal concept and validate it through backtesting. You will then translate your insights into a concrete proposal for the development team: an adjusted signal parameterization and improved execution timing across multiple markets.
The improvement leads to a noticeable optimization in performance and is incorporated into live strategies in the intraday, day-ahead, and balancing markets.
What does your job actually entail?
You optimize the market in real time
- Developing and optimizing trading strategies within the short-term power markets (Day Ahead, Intraday, FCR, aFRR)
- Building real-time data pipelines and low-latency analytics tools
- Processing market data, order book data, and external signals
- Developing and testing predictive models and statistical trading signals
- Integrating execution logic, APIs, and tradingsystems with a focus on latency and reliability
- Conducting backtests, performance analyses, and strategy validation
- Translating market observations into systematictrading improvements
- Assist with the analysis of execution issues, slippage, and market anomalies
- Contributing to the improvement of the strategy lifecycle and research process
- Working within intradaydecision loops and sprint cycles
This challenge is a good fit if you have the following qualities
You have strong analytical skills, a solid understanding of processes, and are a true math whiz; you feel right at home in a commercial, data-driven environment. You’re able to structure complex information and translate it into sharp insights and concrete actions.
In addition, you have:
- A university degree program such as Data Science, Computer Science, or Econometrics
- Strong analytical and conceptual skills
- Excellent communication skills at various levels within the organization
- A structured, proactive, and results-oriented work style
- Experience in a commercial or data-driven environment is a plus
- Familiarity with energy markets (Day Ahead, Intraday, FCR, aFRR) is a strong plus
Your Impact
At Covolt, impact isn't about reports—it's about what happens next.
In this role, you will make a direct contribution to the development of trading strategies and data-driven decision-making across the entire short-term power markets.
- You will develop and improve data-driven trading signals and models across multiple markets
- You will directly contribute to risk management and the optimization of portfolio performance
- You translate complex market data into actionable, scalable, and real-time trading decisions
What do we offer you?
Freedom, Responsibility, Grow Faster Than the Market!
At Covolt, you’ll have the opportunity to make an impact within an organization that is at the heart of the energy transition.
- A key role within a fast-growing and ambitious organization
- Direct contribution to the energy transition
- Plenty of room for personal initiative and professional autonomy
- Career advancement opportunities in line with Covolt's growth
- Flexibility in Hybrid Work
- Access to training, education, and development programs
- Competitive salary with attractive benefits
- 27 vacation days (based on full-time employment)
- An extra day off on your birthday
- 8% vacation allowance
- Personal Retirement and Financial Plan
- A casual yet ambitious work environment
- Friday afternoon get-togethers and regular team events
Working at Covolt
Speed, ownership, and a data-driven approach as the foundation
Covolt is building a future-proof energy system that brings together data, technology, and flexibility. We believe in speed, ownership, and data-driven decision-making as the foundation for sustained performance improvement.
In this context, as a Junior Data Analyst for Trading, you will play a key role in developing strategies, signals, and systematic improvements across the entire short-term power markets.
Interested?
Are you ready to make an impact within a data-driven, fast-growing organization working in the energy transition?Submit your resume and cover letter using the form below.
Do you have any questions about this job opening? Please email or call Mike van Nieuwenhuizen at recruitment-nl@covolt.eu or +31 6 468 21 858.
Our Core Values
Transparent
We provide continuous insight into performance, actions, and returns via our application and clear monthly reports. That way, you always know where you stand.
Independent
Our systems operate independently of energy suppliers, brands, and manufacturers. We always advise and guide you in the best interests of your situation.
Proactive
We are not waiting around. Through smart data, new connections, access to new markets, and active management, we are continuously responding to changes in the energy system.
Innovative
Our Covolt Horizon platform goes beyond standard installation software. We combine data, monitoring, and control to make energy installations work smarter so that you get the most out of them.
