Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: Tableau
Clear Filter- 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
- 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
- Data Architecture
- Data Modeling
- ETL/ELT Development
- Cloud Data Platform Implementation
- Data Governance
Posted Aug 1, 2025
- Data Modeling
- Data Governance
- ETL pipeline development
- Stakeholder collaboration
Posted Aug 1, 2025
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Financial Data Analysis
- Data Modeling
- ETL Processes
- Stakeholder Communication
- Automation
Posted Jul 20, 2025
Posted Jul 19, 2025
Posted Jul 19, 2025
Posted Jul 18, 2025