Senior Data Analyst

Doghouse Recruitment; Randstad; Hybrid; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Fully covered travel allowance (NS Tra

Sports subscription (up to €200/year)

Udemy account plus additional learning

Monthly social activities

Pension contribution

Job summary

Our 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.

You'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.

Qualifications

• 5+ years of experience as a Data Analyst.
• Hands-on SQL experience, particularly PostgreSQL.
• Experience working in a cloud environment, specifically AWS.
• Affinity for data engineering and data analysis responsibilities.
• Proactive self-starter who can work independently.

Responsibilities

• Role mixes analysis and engineering (roughly 75/25 or 50/50).
• Validate and benchmark incoming data from external providers (e.g., meteorological and energy market data).
• Extract insights from time series data and build dashboards.
• Shape data pipelines feeding forecasting and trading strategies.

Skills

SQL

Python

AWS

Data analysis

Self-starter

Tools

PostgreSQL

Docker

Kubernetes

Job description

Senior Data Analyst, Python & SQL - Energy Trading & Optimization, Amsterdam (Hybrid)

Our 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.

You'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.

Depending 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.

Python, PostgreSQL, AWS (Timestream and DynamoDB experience a plus), Docker and a bit of

Kubernetes a nice to have.

What we're looking for

• 5+ years of experience as a Data Analyst.
• Hands-on SQL experience, particularly PostgreSQL.
• Experience working in a cloud environment, specifically AWS.
• An affinity, and already transferable experience for data engineering, as well as comfort with data analysis responsibilities.
• A proactive self-starter who takes initiative and can work independently.
• Knowledge of the energy market is a plus.

Hours and hybrid

Full time, 40 hours per week. 3 days per week in the Amsterdam office, Monday and Friday compulsory, third day flexible.

Salary & contract

Package

• Fully covered travel allowance (NS Traject Vrij).
• Sports subscription (up to €200/year).
• Udemy account plus additional learning budget on request.
• Monthly social activities.
• Pension contribution.

Interview Process

Phone screening, on-site technical interview round, final interview with the Data Team.