Senior Data Analyst

ph3Senior Data Analyst, Python SQL - Energy Trading Optimization, Amsterdam (Hybrid) /h3 pOur client is an Amsterdam based energy trading and optimization company on a mission to accelerate the energy transition. The company has grown to over 40 people, with a 12 person tech organization split across software, infrastructure, and data teams. /p pYou'll work in a fully AWS-based environment, primarily using Python and PostgreSQL, turning incoming market and forecasting data into insight that directly supports trading decisions. This is a long-term, end-to-end project: you'll take ownership of making the underlying data accurate, validated, and usable for the business, with room to grow into more responsibility as a medior analyst. /p pDepending on seniority, the role is a mix of analysis and engineering, roughly 75/25, or 50/50: validating and benchmarking incoming data from external providers (including meteorological and energy market data), extracting insights from time series data, building dashboards, and shaping the data pipelines that feed the business's forecasting and trading strategies. /p pPython, PostgreSQL, AWS (Timestream and DynamoDB experience a plus), Docker and a bit of /p pKubernetes a nice to have. /p h3What we're looking for /h3 ul li5+ years of experience as a Data Analyst. /li liHands-on SQL experience, particularly PostgreSQL. /li liExperience working in a cloud environment, specifically AWS. /li liAn affinity, and already transferable experience for data engineering, as well as comfort with data analysis responsibilities. /li liA proactive self-starter who takes initiative and can work independently. /li liKnowledge of the energy market is a plus. /li /ul h3Hours and hybrid /h3 pFull time, 40 hours per week. 3 days per week in the Amsterdam office, Monday and Friday compulsory, third day flexible. /p h3Salary contract /h3 h3Package /h3 ul liFully covered travel allowance (NS Traject Vrij). /li liSports subscription (up to €200/year). /li liUdemy account plus additional learning budget on request. /li liMonthly social activities. /li liPension contribution. /li /ul h3Interview Process /h3 pPhone screening, on-site technical interview round, final interview with the Data Team. /p /p #J-18808-Ljbffr