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MARKET ANALYST – POWER TRADING

Ignitisgroup

Vilnius, Vilnius County, Lithuania

Job at a glance

Vilnius, Vilnius County, Lithuania
Location
Hybrid
Work arrangement
Ignitisgroup
Employer

Company Description Do you want to contribute to projects changing the meaning of energy consumption in the Baltics and beyond? Ignitis is a part of the Ignitis Group – a leading integrated energy group in the Baltic region. Our purpose is to create a 100% secure and green energy ecosystem for current and future generations.   Ignitis offers advanced energy solutions and services to both private and business clients, enabling effective energy management, consumption, and production.

The electric vehicle quick-charge network, Ignitis ON, significantly contributes to sustainable mobility in the Baltics. Simultaneously, the platform eparkai.lt opens the door for everyone to become a green electric power producer. We supply power and natural gas to 1.5 million customers in Lithuania and, through our operations in Latvia, Estonia, Finland, and Poland, we are accelerating the development of green energy throughout the wider Baltic region.  www.ignitis.lt #ignitislietuva Job Description We are currently looking for a new colleague to join the Energy Trading division of the Ignitis Group, where you’ll be responsible for turning market data into strategic trading insights, automating analytics processes, and optimizing commercial decision-making tools.

If that speaks to you, we’d be happy to welcome you to our team! Take YOUR part in #EnergySmart!  You will contribute to secure and green energy ecosystem creation by:   Analyzing energy and financial markets to identify price drivers, trends, risks and trading opportunities Developing and improving forecasting, market analysis and trading tools to support commercial decision-making Analyzing trading strategies and business performance and turning data into clear, actionable insights Automating analysis, reporting and operational processes, while helping ensure reliable and well-structured team data Working closely with traders and other teams to improve processes, tools and data-driven ways of working Qualifications University degree in Economics, finance, econometrics, mathematics, statistics, data science, computer science, engineering or a related field Strong analytical and critical-thinking skills, with the ability to structure complex information and draw clear conclusions Good working knowledge of MS Excel and basic knowledge of Python, SQL, Power BI, VBA, Power Query or other data and analytical tools and willingness to further develop programming and data-analysis skills Interest in energy or financial markets, trading and quantitative analysis, with curiosity and willingness to learn Excellent command of written and spoken Lithuanian and English, with the ability to communicate findings clearly Would be an advantage: Experience with energy, commodity or financial market data, forecasting, derivatives or risk analysis Experience building analytical models, dashboards, APIs or automated data pipelines Familiarity with modern development practices and tools such as Git, REST APIs, workflow automation and AI-assisted coding tools Additional Information A package of additional benefits to choose from: pension accumulation, health insurance, or another benefit from the selectable benefits list in the MELP application Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience A hybrid work model (3+2) and flexible working hours Internal career opportunities Extensive learning and qualification enhancement programs Mentorship-based culture designed to facilitate meaningful and value-driven work Take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations Join a growing and increasingly international team of energy smart people united by a common purpose.

We all play our part in creating a 100 % secure and green energy ecosystem for current and future generations. And the way to achieve this is certainly not t

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