Find Your Next Analytics Engineering Job

A curated list of analytics engineering job openings with details intelligently extracted by AI.

Filtering by tech: Power BI
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  • Data Architecture
  • Data Modeling
  • ETL/ELT Development
  • Cloud Data Platform Implementation
  • Data Governance
Posted Aug 1, 2025
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  • Develop and maintain data pipelines.
  • Build data models and schemas in cloud data warehouse.
  • Collaborate with other teams to understand data needs.
  • Monitor and troubleshoot data pipeline performance.
  • Implement data quality checks and monitoring.
Posted Jul 30, 2025
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  • Develop and maintain data pipelines and ETL processes.
  • Design and implement data models and data warehouses.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Ensure data quality and accuracy through data validation and testing.
  • Utilize cloud-based data platforms and services.
Posted Jul 30, 2025
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  • Develop and maintain data pipelines and ETL processes.
  • Design, develop, and maintain data models.
  • Collaborate with business users to gather requirements and translate them into technical specifications.
  • Perform data analysis and quality assurance to ensure data accuracy and integrity.
  • Develop and maintain documentation for data processes and systems.
Posted Jul 29, 2025
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  • Develop and maintain data pipelines.
  • Design and implement data models.
  • Collaborate with stakeholders to understand data needs.
  • Ensure data quality and accuracy.
  • Automate data processes.
Posted Jul 27, 2025
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  • Build data pipelines to ingest data from various sources into the cloud data warehouse.
  • Develop data models and transformations using dbt to support business requirements.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Implement data quality checks and monitoring to ensure data accuracy and reliability.
  • Optimize data pipelines and queries for performance and scalability.
Posted Jul 24, 2025
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  • Develop and maintain data pipelines for pricing optimization.
  • Collaborate with data scientists and business stakeholders.
  • Ensure data quality and reliability.
  • Apply analytics to improve pricing strategies.
Posted Jul 23, 2025
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  • Data lake ecosystem design and implementation
  • Data governance and security
  • ETL pipeline development and maintenance
  • Collaboration with stakeholders to understand data needs
  • Performance optimization of data systems
Posted Jul 23, 2025
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  • Design, develop, and maintain data pipelines using cloud-based technologies to support data transformation, data structures, metadata, dependency and workload management.
  • Develop and implement data models, schemas, and ETL processes to support data warehousing and business intelligence needs.
  • Ensure data quality and integrity by implementing data validation rules, monitoring data pipelines, and resolving data issues.
  • Collaborate with cross-functional teams to understand data requirements and provide data solutions that meet business needs.
  • Stay current with emerging data technologies and trends and make recommendations for new technologies and approaches to improve data management and analytics.
Posted Jul 22, 2025
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  • Data analysis and problem-solving
  • Data visualization and presentation
  • Collaboration with cross-functional teams
  • Data manipulation and transformation
  • Data quality and governance
Posted Jul 22, 2025
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  • Data Pipelines: Design, develop, and maintain robust data pipelines.
  • Data Modeling: Create and optimize data models.
  • Stakeholder Collaboration: Work closely with stakeholders to understand their requirements.
  • BI Solutions: Develop insightful BI solutions and reporting dashboards.
  • Data Quality: Ensure data accuracy and reliability.
Posted Jul 22, 2025
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  • Develop and maintain data pipelines and ETL processes.
  • Collaborate with business partners to understand data requirements.
  • Design and implement data models and reporting solutions.
  • Ensure data quality and accuracy.
  • Utilize analytical and data visualization tools
Posted Jul 22, 2025
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