1 week ago

Data Analyst

Nmbrs

Amsterdam

1 week ago

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Data Analyst

We're looking for a Data Analyst to join our Product-Led Growth team at Nmbrs, a fast-growing HR & payroll scale-up. You'll analyze customer behavior and product adoption to optimize sales and features, working autonomously with sales and marketing. Requires 3+ years in product analytics, Power BI, Azure, and experience with tools like Heap, Mixpanel, or Amplitude.

HybridFull-timeSeniorPower BIAzure

Data Analyst

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HybridFull-timeSeniorPower BI

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid working flexibility

Experience Required

3 years

Employment Type

Full-time

Experience Level

3+ years of experience in product or digital analytics

Core Qualifications

Technical (Must-have)

Power BIAzureProduct AnalyticsHeapMixpanelAmplitudeAPI IntegrationsData VisualizationA/B TestingETL PipelinesPythonData QualityAnalytics StrategyMarketing AnalyticsSQL

Soft Skills

CommunicationAutonomyProactiveAnalytical SkillsBusiness AcumenCross-functional Collaboration

Preferred Qualifications

Technical (Nice-to-have)

HubSpotDutchPayroll or HR Software

Key Responsibilities

•Translate complex data into clear, actionable insights for technical and commercial stakeholders.
•Analyze user adoption patterns, feature usage, and PQL triggers to optimize conversion.
•Measure and report on marketing campaign performance across multiple channels.
•Lead A/B testing initiatives, analyzing results and assessing statistical significance.
•Design and maintain Power BI dashboards and reports across product, financial, and performance data.
•Build and maintain ETL pipelines, manage API integrations, and develop Python scripts for scalable data workflows.
•Oversee end-to-end data processes ensuring data quality, accessibility, and reliability.
•Collaborate cross-functionally to define priorities and align data strategy with business goals.

Data AnalystProduct AnalyticsGrowthSaaSHR TechPower BIAzurePythonA/B TestingHybrid

Key Responsibilities

•Translate complex data into clear, actionable insights for technical and commercial stakeholders.

•Analyze user adoption patterns, feature usage, and PQL triggers to optimize conversion.

•Measure and report on marketing campaign performance across multiple channels.

•Lead A/B testing initiatives, analyzing results and assessing statistical significance.

•Design and maintain Power BI dashboards and reports across product, financial, and performance data.

•Build and maintain ETL pipelines, manage API integrations, and develop Python scripts for scalable data workflows.

•Oversee end-to-end data processes ensuring data quality, accessibility, and reliability.

•Collaborate cross-functionally to define priorities and align data strategy with business goals.