Growth Analytics Specialist: Data-Driven Insights

Hireworklin

Amsterdam

On-site

EUR 60,000 - 80,000

Full time

2 days ago
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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

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

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