Find Your Next Analytics Engineering Job

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

Filtering by tech: Tableau
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  • Data modeling
  • Data architecture
  • ETL processes
  • Data warehousing solutions
  • Collaboration with stakeholders
Posted Aug 16, 2025
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  • Develop and maintain data pipelines
  • Data modeling and database design
  • Implement data governance and quality standards
  • Collaborate with stakeholders to understand data requirements
  • Build and maintain data visualizations and dashboards
Posted Aug 15, 2025
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  • Develop data pipelines using cloud technologies (AWS, GCP).
  • Collaborate with product managers, data scientists, and other engineers.
  • Apply knowledge of data modeling, data access, and data storage techniques.
  • Ensure data quality and implement monitoring solutions.
  • Build data products
Posted Aug 15, 2025
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  • Develop and maintain data pipelines
  • Collaborate with data scientists and analysts
  • Build data models
  • Ensure data quality and accuracy
  • Monitor and troubleshoot data pipelines
Posted Aug 15, 2025
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  • Data analysis and interpretation
  • ETL processes
  • Data visualization and reporting
  • Data quality and governance
  • Collaboration with stakeholders
Posted Aug 15, 2025
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  • Data analysis and visualization to address business questions.
  • Development of data pipelines using cloud-based technologies.
  • Collaboration with business partners to understand data needs.
  • Creation of dashboards and reports to monitor key performance indicators.
  • Ensuring data quality and reliability.
Posted Aug 15, 2025
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  • Capacity planning
  • Data analysis
  • Develop data pipelines and reporting
  • Collaborate with engineering teams
  • Drive data-informed decisions
Posted Aug 14, 2025
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  • Data Analysis and Interpretation
  • Data Modeling and Pipeline Development
  • Collaboration with Cross-Functional Teams
  • Data Quality and Integrity
  • Business Intelligence and Reporting
Posted Aug 13, 2025
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  • ETL processes and data pipelines
  • Data analysis and problem-solving
  • Collaboration with stakeholders
  • Data quality and governance
  • Mentoring junior analysts
Posted Aug 13, 2025
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  • Data analysis and modeling to improve data center hardware quality, reliability, and operations.
  • Develop metrics and dashboards to monitor and drive improvements in hardware performance.
  • Collaborate with cross-functional teams (hardware engineering, supply chain, operations) to identify and address data-driven opportunities.
  • Build data pipelines and infrastructure to support data analysis and reporting.
  • Apply statistical methods and machine learning to predict and prevent hardware failures.
Posted Aug 7, 2025
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  • Advise our clients in the financial services industry on how to leverage data to gain a competitive edge.
  • Support clients in defining their data and analytics strategy, designing their future data architecture, and implementing data solutions.
  • Work with modern data technologies in the cloud (AWS, Azure, GCP) and on-premise.
  • Develop data models, ETL pipelines, and data visualizations.
  • Take responsibility for project modules and workstreams, and manage junior consultants.
Posted Aug 7, 2025
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  • Data Analysis
  • Data Visualization
  • Consulting with business partners
  • Data pipeline development
  • Data modeling
Posted Aug 6, 2025
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  • Data Analysis
  • Data Visualization
  • Data Modeling
  • Requirements Gathering
  • Agile Development
Posted Aug 6, 2025
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  • Data visualization and dashboard creation to monitor data quality, identify trends, and provide actionable insights to stakeholders
  • Collaborate with cross-functional teams to understand data requirements and develop solutions
  • Build and maintain data pipelines
  • Support data governance and data quality initiatives
Posted Aug 6, 2025
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  • Develop and maintain data visualizations and dashboards using tools like Tableau to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand their data needs and translate them into actionable insights and reporting solutions.
  • Analyze marketing campaign performance, identify trends, and provide recommendations to optimize marketing strategies and improve ROI.
  • Ensure data accuracy and integrity by implementing data validation procedures and monitoring data quality.
  • Present findings and recommendations to stakeholders, including senior management, in a clear and concise manner.
Posted Aug 6, 2025
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  • Data visualization and dashboard creation
  • Stakeholder management and communication
  • Marketing analytics and reporting
  • Data analysis and insights generation
Posted Aug 6, 2025
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  • Build, lead, and mentor a team of data scientists and engineers.
  • Drive the development and execution of a comprehensive data strategy.
  • Partner with business stakeholders to identify opportunities.
  • Communicate findings and recommendations to technical and non-technical audiences.
Posted Aug 4, 2025
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  • Energy modeling and simulation
  • Data analysis and visualization
  • Building performance optimization
  • Mentoring junior staff
Posted Aug 4, 2025
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  • Build data pipelines that transform raw data into actionable insights
  • Develop reporting and visualization tools to monitor key business metrics
  • Collaborate with cross-functional teams to understand data needs and deliver solutions
  • Apply data modeling techniques to ensure data quality and consistency
Posted Aug 2, 2025
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  • Data analysis and modeling to solve business problems
  • Translate business needs into analytical questions and build end-to-end analytical solutions
  • Communicate findings and recommendations to stakeholders
  • Develop and maintain data pipelines and infrastructure
Posted Aug 1, 2025
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  • Partner with product, data science, and engineering teams to deeply understand their data needs and translate them into scalable and reliable data models.
  • Develop and maintain data pipelines using technologies like Spark, Flink, and Airflow.
  • Build data visualizations and dashboards using tools like Tableau and Looker to monitor data quality and identify trends.
  • Collaborate with other data engineers and data scientists to improve our data infrastructure and tooling.
  • Mentor junior data engineers and share your knowledge with the team.
Posted Aug 1, 2025
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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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  • Data Modeling
  • Data Governance
  • ETL pipeline development
  • Stakeholder collaboration
Posted Aug 1, 2025
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  • Develop and maintain data pipelines.
  • Build data models and ETL processes.
  • Design and implement data analytics solutions.
  • Collaborate with stakeholders to understand data needs.
  • Ensure data quality and accuracy.
Posted Aug 1, 2025
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  • Develop and maintain data pipelines and ETL processes.
  • Collaborate with stakeholders to understand data requirements.
  • Ensure data quality and accuracy.
  • Design and implement data models.
  • Develop reporting and analytics solutions.
Posted Jul 30, 2025
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  • Design, develop, and maintain data pipelines and ETL processes.
  • Build and maintain data models, schemas, and dictionaries.
  • Collaborate with stakeholders to understand data needs and translate them into technical requirements.
  • Ensure data quality and integrity through monitoring, validation, and testing.
  • Contribute to the development of data governance policies and procedures.
Posted Jul 30, 2025
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  • Develop data pipelines using SQL and Python to ingest, transform, and load data into the data warehouse.
  • Develop data models and schemas in the data warehouse to support business requirements.
  • Develop dashboards and visualizations using BI tools such as Tableau to provide insights to business users.
  • Collaborate with other engineers, data scientists, and business users to understand data requirements and develop solutions.
  • Participate in code reviews and contribute to the development of coding standards and best practices.
Posted Jul 29, 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 requirements.
  • Ensure data quality and accuracy.
  • Utilize cloud-based data platforms and tools.
Posted Jul 29, 2025
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  • Develop and maintain data pipelines for student experience reporting.
  • Design and implement data models in the data warehouse.
  • Collaborate with stakeholders to understand data needs and translate them into technical solutions.
  • Build dashboards and visualisations using BI tools to communicate insights.
  • Ensure data quality and accuracy through data validation and testing.
Posted Jul 29, 2025
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  • Lead a team of Analytics Engineers that partners with the Ads business to drive data-informed decision-making.
  • Design, build, and maintain data models, pipelines, and dashboards to support the Ads business.
  • Collaborate with cross-functional teams of Data Scientists, Product Managers, and Engineers to identify and prioritize opportunities to improve the Ads business.
  • Communicate insights and recommendations to stakeholders at all levels of the organization.
Posted Jul 28, 2025
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  • Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc., that will support our and partner teams’ analytical and business needs.
  • Use data to develop insights that guide the strategy and tactics of the organization.
  • Interface with business customers, gathering requirements and delivering complete reporting solutions.
  • Analyze large datasets, identify trends, and translate data into actionable insights.
  • Collaborate with data engineers to improve data quality and availability.
Posted Jul 25, 2025
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  • Develop data pipelines using SQL and Python to support data ingestion and transformation.
  • Utilize cloud platforms (AWS/GCP) for scalable data warehousing and processing.
  • Implement data quality monitoring and alerting to ensure data accuracy and reliability.
  • Collaborate with product and business teams to define and implement analytics solutions.
  • Design and develop dashboards and reports using BI tools to visualize key metrics and insights.
Posted Jul 24, 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 models, ETL pipelines, and data visualizations.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
  • Ensure data quality and accuracy through data validation and testing.
  • Optimize data infrastructure for performance and scalability.
Posted Jul 23, 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 scalable data pipelines using AWS services.
  • Design and develop BI dashboards and reports to provide actionable insights.
  • Collaborate with stakeholders to understand data requirements and deliver data solutions.
  • Apply data modeling techniques to create efficient and effective data structures.
Posted Jul 22, 2025
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  • Develop, implement, and maintain data pipelines using various tools and technologies.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Apply data mining and machine learning techniques to extract insights and develop predictive models.
  • Ensure data quality and integrity by implementing data validation and monitoring processes.
Posted Jul 21, 2025
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  • Financial Data Analysis
  • Data Modeling
  • ETL Processes
  • Stakeholder Communication
  • Automation
Posted Jul 20, 2025
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