Negotiable
Undetermined
Hybrid
Location Amsterdam, North Holland, Netherlands
Summary: The Senior Data Analyst role is a freelance position based in Amsterdam, focusing on analytics tasks such as reporting, visualization, and analysis. The analyst will collaborate with business stakeholders to address complex business problems through data analytics. This position requires a strong understanding of data mastery and statistical techniques, along with effective communication skills. The contract is for 6 months with the possibility of extension, requiring a hybrid working arrangement.
Key Responsibilities:
- Data mastery: Consume diverse sources, craft clean datasets, and tell compelling data stories that answer high-stakes questions.
- Statistical firepower: Selecting the right tool for the signal.
- Stakeholder partnership: Identify the right voices, communicate insights in plain language, and drive alignment across product, engineering, and leadership.
Key Skills:
- Fluency in SQL (or equivalent) and at least one analytical language (Python/R).
- Experience with Pyspark.
- Experience in data pipelining and data engineering.
- Data science experience is a plus.
- Proven track record applying advanced statistics techniques to real-world product or business problems.
- Clear, concise storytelling skills tailored to executive or peer audiences.
- Master's degree (or higher) in Statistics, Econometrics, Computer Science, Mathematics, or a related quantitative field.
Salary (Rate): undetermined
City: Amsterdam
Country: Netherlands
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Senior Data Analyst - Freelance/Interim - 6months - Amsterdam
Data Analysts II are the drivers for analytics tasks such as reporting, visualization and analysis needs within their area. They have a high level understanding of the business problems in their area and collaborate closely with the business stakeholders to solve them through application of data analytics.
Responsibilities:
Data mastery: Consume diverse sources, craft clean datasets, and tell compelling data stories that answer high-stakes questions.
Statistical firepower: Selecting the right tool for the signal .
Stakeholder partnership: Identify the right voices, communicate insights in plain language, and drive alignment across product, engineering, and leadership.
Requirement:
Fluency in SQL (or equivalent) and at least one analytical language (Python/R). Your queries are fast, traceable, and production-ready.
Experience with PysparkExperience in data pipelining, data engineering. Data science experience is a plus.
Proven track record applying advanced statistics techniques to real-world product or business problems.
Clear, concise storytelling skills-charts, memos, or slide decks-tailored to executive or peer audiences.
Master's degree (or higher) in Statistics, Econometrics, Computer Science, Mathematics, or a related quantitative field
Practical info:
40hours/week, Amsterdam based - hybrid (2days/week on site), fixed term contract for 6 months with an option to extend - start ASAP (freelance/interim payroll)
Please note: you can be only eligible to apply if you are based and registered in NL
