Data Analyst

Hireworklin; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Job summary

Hireworklin is looking for a data analytics professional to transform raw platform data into actionable insights that drive product decisions, growth strategy, and marketplace health monitoring. You will build dashboards, analyze user behavior, run experiments, and collaborate with Product and Engineering to ensure high-quality data, delivering weekly and monthly BI summaries.

The role requires a strong SQL background, proficiency with major BI tools, and a proven ability to translate numbers

Qualifications

• 3+ years of experience as a data analyst or analytics engineer in a SaaS or marketplace environment.
• Proficiency in SQL (PostgreSQL preferred) for complex queries, window functions, and CTEs.
• Experience with BI tools (Metabase, Looker, Tableau, or Power BI) for dashboard creation and self-serve analytics.
• Strong statistical foundations: hypothesis testing, regression analysis, cohort analysis, and A/B test design.
• Excellent data storytelling skills; you can translate numbers into narratives that drive decisions.

Responsibilities

• Build and maintain dashboards tracking GMV, take rate, match rate, retention, and NPS.
• Analyse user behavior and billing patterns to spot growth opportunities and friction.
• Design and run A/B tests to validate hypotheses and measure feature impact.
• Create automated reporting pipelines delivering weekly/monthly BI summaries.
• Collaborate with Product/Engineering to define event tracking and ensure data quality.

Skills

SQL

BI tools

Statistics

Data storytelling

Tools

Metabase

Looker

Tableau

Power BI

dbt

Airflow

Job description

Transform raw platform data into actionable insights that drive product decisions, growth strategy, and marketplace health monitoring.

What you'll do

• Build and maintain analytics dashboards tracking key marketplace metrics: GMV, take rate, match rate, user retention, and NPS.
• Analyse user behaviours, billing patterns, and conversion funnels to identify growth opportunities and friction points.
• Design and run A/B tests to validate product hypotheses and measure feature impact.
• Create automated reporting pipelines for leadership, delivering weekly and monthly business intelligence summaries.
• Collaborate with Product and Engineering to define event tracking schemas and ensure data quality.

Requirements

• 3+ years of experience as a data analyst or analytics engineer in a SaaS or marketplace environment.
• Proficiency in SQL (PostgreSQL preferred) for complex queries, window functions, and CTEs.
• Experience with BI tools (Metabase, Looker, Tableau, or Power BI) for dashboard creation and self-serve analytics.
• Strong statistical foundations: hypothesis testing, regression analysis, cohort analysis, and A/B test design.
• Excellent data storytelling skills; you can translate numbers into narratives that drive decisions.

Nice to have

• Experience with Python (pandas, matplotlib) or R for advanced analysis and automation.
• Familiarity with dbt, Airflow, or similar data pipeline tools.
• Background in marketplace economics or two-sided platform dynamics.