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Amsterdam
1 week ago
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Data Analyst

Landal

Amsterdam
1 week ago
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Data Analyst

Landal is seeking an Analytics Engineer to bridge business and IT, translating business needs into BI solutions. The role involves building DBT models in Databricks, developing Power BI dashboards, and supporting data-driven decisions across Finance, Commerce, and Operations. Requires a Bachelor's or Master's degree, 2+ years of experience, and proficiency in SQL, Power BI, DBT, and Databricks.

HybridFull-timeMid LevelSQLPower BI

Data Analyst

Landal is seeking an Analytics Engineer to bridge business and IT, translating business needs into BI solutions. The role involves building DBT models in Databricks, developing Power BI dashboards, and supporting data-driven decisions across Finance, Commerce, and Operations. Requires a Bachelor's or Master's degree, 2+ years of experience, and proficiency in SQL, Power BI, DBT, and Databricks.

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HybridFull-timeMid LevelSQL

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: at least 3 days a week in office, working from home possible

Experience Required

2 years

Employment Type

Full-time

Experience Level

Minimum 2 years of relevant experience

Core Qualifications

Technical (Must-have)
SQLPower BIDBTDatabricksData ModelingSemantic ModelsDashboard DevelopmentData VisualizationAzure DevOpsGitCI/CDPower AppsETLData WarehousingKimball
Soft Skills
Analytical skillsCommunicationCollaborationProblem-solvingAttention to detail

Preferred Qualifications

Technical (Nice-to-have)
Databricks GenieAI applied analytics

Key Responsibilities

  • •Build and maintain DBT data models in Databricks, ensuring data quality, performance, and documentation standards are met.
  • •Help integrating customer touchpoints across marketing, commerce, and operations.
  • •Support the development and maintenance of multi-touch attribution (MTA) models and assist in laying the groundwork for MMM.
  • •Develop and maintain Power BI dashboards, semantic models, and metric definitions that serve business stakeholders.
  • •Write and optimise SQL transformations and work with Data Engineers on ingestion pipelines across Azure and GCP.
  • •Follow version control, CI/CD, and documentation standards using Azure DevOps and Git.
  • •Work closely with the Lead Analytics Engineer and business stakeholders to translate requirements into analytics solutions.
  • •Proactively monitor data accuracy and flag integrity issues in analytical models.
Data AnalystAnalytics EngineerBIPower BIDatabricksDBTSQLHybridFull-timeTravel
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