1 week ago

Lead, Data Analytics

FareHarbor

Amsterdam

1 week ago

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FareHarbor is seeking a Lead Data Analyst to serve as the analytical craft leader within the BI team, translating complex business problems into trusted data products and actionable recommendations. The role requires 5+ years of experience in data analytics, advanced SQL and Python skills, and experience with dbt and BI tools. This hybrid position is based in Amsterdam, Netherlands.

HybridFull-timeLeadSQLPython

Lead, Data Analytics

Apply

HybridFull-timeLeadSQL

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: 3 days/week in-office

Experience Required

5 years

Employment Type

Full-time

Experience Level

Lead (5+ years experience)

Core Qualifications

Technical (Must-have)

SQLPythondbtGitLabTableauLookerPower BIMixpanelAmplitudeStatistical AnalysisForecastingData ModelingSemantic LayersAnalytics EngineeringData Governance

Soft Skills

CommunicationStakeholder ManagementProblem SolvingBusiness JudgmentMentoringCollaborationContinuous Learning

Preferred Qualifications

Technical (Nice-to-have)

Product AnalyticsExperimentation

Key Responsibilities

•Partner with Product and Commercial stakeholders to translate business questions into analytical frameworks, trusted metrics, and actionable insights.
•Design, build, and maintain scalable reporting, dashboards, and data products that support decision-making across the organization.
•Proactively identify growth opportunities, operational inefficiencies, and emerging business risks through data analysis and insight generation.
•Conduct advanced analyses, forecasting to drive measurable business outcomes across acquisition, upsell, retention, and product adoption.
•Translate analytical findings into measurable actions by partnering with stakeholders to operationalize recommendations and track business impact.
•Help improve self-service analytics capabilities by developing trusted datasets, documentation, and reporting frameworks.
•Collaborate with Data Engineering to improve data quality, governance, accessibility, and reliability.
•Create and apply AI-assisted analytics workflows and automation to increase analytical productivity, accelerate insight generation, and evaluate the quality and reliability of AI-generated outputs.
•Drive analytical excellence through best practices in business metrics design, experimentation, reporting quality, and insight generation.
•Mentor and support other analysts through knowledge sharing, code reviews, and analytical guidance.
•Contribute to a culture of continuous learning, collaboration, and data-informed decision-making.

Data AnalyticsBusiness IntelligenceLeadHybridAmsterdamB2B SaaSSQLPythondbtTableau

Key Responsibilities

•Partner with Product and Commercial stakeholders to translate business questions into analytical frameworks, trusted metrics, and actionable insights.

•Design, build, and maintain scalable reporting, dashboards, and data products that support decision-making across the organization.

•Proactively identify growth opportunities, operational inefficiencies, and emerging business risks through data analysis and insight generation.

•Conduct advanced analyses, forecasting to drive measurable business outcomes across acquisition, upsell, retention, and product adoption.

•Translate analytical findings into measurable actions by partnering with stakeholders to operationalize recommendations and track business impact.

•Help improve self-service analytics capabilities by developing trusted datasets, documentation, and reporting frameworks.

•Collaborate with Data Engineering to improve data quality, governance, accessibility, and reliability.

•Create and apply AI-assisted analytics workflows and automation to increase analytical productivity, accelerate insight generation, and evaluate the quality and reliability of AI-generated outputs.

•Drive analytical excellence through best practices in business metrics design, experimentation, reporting quality, and insight generation.

•Mentor and support other analysts through knowledge sharing, code reviews, and analytical guidance.

•Contribute to a culture of continuous learning, collaboration, and data-informed decision-making.