Quick Summary
Key Responsibilities
Regular updating and maintenance of the department's commercial databases in line with established procedures: loading of market data (day-ahead and intraday markets, imbalance settlement),
Technical Tools
SalesCommercial Analyst
Responsibilities
~1 min read- →Regular updating and maintenance of the department's commercial databases in line with established procedures: loading of market data (day-ahead and intraday markets, imbalance settlement), generation and consumption data, contract and counterparty data;
- →Support and updating of existing Power BI reports and dashboards: refreshing data sources, adjusting queries and visuals, monitoring scheduled refreshes and resolving or escalating refresh failures; assistance in building new reports;
- →Consolidation of data from different sources (market platform exports, metering and generation systems, internal registers, Excel files) into unified structured datasets;
- →Preparation of regular and ad hoc commercial reports in agreed formats: volumes, prices, revenues and margins by asset, product and counterparty;
- →Data quality checks: reconciliation between sources, identification of discrepancies and flagging them to the responsible colleagues; maintaining up-to-date descriptions of data flows;
- →Support of forecasting and commercial modelling activities under the guidance of senior colleagues: preparation of input datasets, scenario calculations, tracking of forecast accuracy metrics;
- →Support of automation of recurring routines using IT and AI tools: Power Query, scripts, AI assistants for generating and debugging queries.
Requirements
~1 min read- Higher education in Data Analytics / IT / Mathematics / Statistics / Economics / Energy or related fields;
- Up to 2 years of experience in analytical or data roles; graduates with demonstrable practical skills are welcome to apply;
- Microsoft Excel – advanced level (mandatory): complex formulas, PivotTables, Power Query, handling of large workbooks;
- Power BI – working level (mandatory): ability to build and refresh reports, work with Power Query; basic knowledge of DAX with readiness to develop it on the job;
- Knowledge of the core principles of data analysis: data structuring and normalisation, descriptive statistics, validation of results;
- Experience of working with large data arrays and consolidating data from several sources (including academic or personal projects);
- Experience of AI assistants in day-to-day data work together with the ability to critically verify their output;
- High level of attention to detail and accuracy; willingness to learn and to work with several parallel tasks within reporting deadlines;
- English – Intermediate (ability to work with English-language materials and reporting).
What We Offer
~1 min read✓Competitive salary and official employment with all social protection requirements;
✓Opportunity for career growth in an innovative renewable energy company with international investments;
✓Cooperation in a friendly atmosphere with a great professional team that implements ambitious energy projects and helps the country become truly energy independent;
✓Participation in corporate trainings and English language courses;
✓Performance management system for all employees;
✓A good health insurance package that will be available after the probationary period (3 months);
✓Phone package;
✓Workplace in a modern and innovative office in Kyiv with hybrid working schedule (3 days in the office, up to 2 days remote).
Location & Eligibility
Where is the job
Kyiv, Ukraine
On-site at the office
Who can apply
UA
Listing Details
- First seen
- September 4, 2026
- Last seen
- October 1, 2026
Posting Health
- Days active
- 26
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- October 1, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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