The role involves applying data engineering best practices to transform, test, and document data while building composable data models. You will collaborate with stakeholders to turn raw data into business insights and create data visualizations.
Remote Analytics Engineer Jobs (269)
Search = Analytics Engineer
Design and manage data pipelines to develop innovative dashboards and reporting solutions for customers. Collaborate with cross-functional Agile teams to provide actionable insights and implement scalable automation using AI tools.
Lead analytics engineering for the Sales and Marketing domain by architecting data collection and developing robust ETL pipelines. Create internal tools and dashboards to enable data self-service and drive a data-driven culture across the organization.
Lead analytics engineering for the Sales and Marketing domain by architecting data collection and building robust ETL pipelines. Develop internal tools and dashboards to enable data self-service and drive a data-driven culture across the organization.
Senior Data Engineer – Analytics & BI Platforms
IntelliTech LLC
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Full Time
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1 Week Ago
IntelliTech LLC
Design and maintain scalable data pipelines to ingest and transform data from various enterprise sources. Enable analytics and reporting by preparing curated datasets for BI platforms and collaborating with stakeholders to deliver mission-aligned data products.
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Design, develop, and maintain analytics and reporting solutions, including ETL processes, data warehouses, and dashboards. Troubleshoot pricing optimization algorithms and implement in-database machine learning solutions to support business metrics.
Senior Digital Analytics Engineer
Growth Acceleration Partners
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Full Time
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2 Weeks Ago
Growth Acceleration Partners
Manage and optimize Google Tag Manager containers and Google Analytics 4 property configurations to ensure data integrity. Support the technical configuration of Adobe Analytics and assist in deploying tracking pixels for marketing and product initiatives.
Lead the transition from a Looker footprint to certified gold-tier models and a prose-based semantic layer. Build and tune LLM-powered query layers and agents to monitor dashboards for anomalies.
Lead the transition from Looker to certified gold-tier dbt models and a prose-based semantic layer. Build and tune LLM-powered query layers and monitoring agents to provide trustworthy data insights to stakeholders.
Lead the transition from Looker to certified gold-tier models and a prose-based semantic layer. Build and tune LLM-powered query layers and monitoring agents to surface data anomalies to stakeholders.
The role involves collaborating with business areas to define data modeling solutions and translating business concepts into quantitative metrics. You will be responsible for architecting analytical data models and orchestrating data pipeline workflows.
Build and maintain scalable data models and pipelines to provide high-quality data for business analysis and reporting. Collaborate with cross-functional teams to translate commercial requirements into technical solutions and actionable business insights.
Design, implement, and operate scalable cloud-native data pipelines and ETL/ELT workflows on AWS for an IoT Insurance Data Platform. Collaborate with cross-functional teams to optimize PySpark jobs and manage data schemas using Glue Data Catalog and Lake Formation.
Build and maintain the analytics layer by designing core dbt models and implementing trusted company metrics in Omni. Partner with cross-functional teams to deliver high-impact analytics projects and improve data quality and warehouse performance.
Lead the development of foundational data models and scalable data solutions to support cross-border remittance business needs. Collaborate with stakeholders to translate commercial objectives into technical projects and oversee financial data reconciliation processes.
Own the end-to-end product analytics layer, defining the roadmap and architecting scalable data models to empower product decisions. Build AI-powered internal tools and maintain a self-service metrics layer integrating BigQuery and Amplitude.
Own and evolve the semantic layer using dbt and Omni to build benchmarking and segmentation datasets for medspa performance. Develop high-quality datasets to enable embedded AI and drive data trust through revenue reconciliation and governance initiatives.
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The Senior Analytics Engineer transforms curated data into business-ready assets such as semantic models, dashboards, and data marts. They design and deploy data and AI solutions on the Databricks platform while building ETL/ELT pipelines.
Lead Analytics Engineer (REMOTE)
DICK'S Sporting Goods
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Full Time
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3 Weeks Ago
DICK'S Sporting Goods
Act as a subject matter expert in analytics engineering and BI to lead the design of complex data models and dashboards. Mentor team members on development standards and drive technical requirements within an Agile framework.
Lead the modernization and scaling of data architecture across various business systems to create an AI-ready data foundation. Own the dbt transformation layer, establish governance standards, and optimize ingestion pipelines within Google BigQuery.
Own the commercial data platform by designing high-quality website data layers and managing GTM/sGTM containers. Build and maintain end-to-end ELT pipelines in BigQuery and dbt to power marketing experimentation and bidding decisions.
![Jusbrasil is hiring for remote Analytics Engineer [Vaga Afirmativa para PCD]](/assets/dc99fec1-ff4b-481c-be8d-b7355cb5eaa4.png){kind=small}
Build and manage the semantic data layer to ensure consistent business rules and data governance across the company. Act as a bridge between data infrastructure and business stakeholders to translate requirements into efficient dimensional models.
Develop and optimize large-scale data ingestion and transformation pipelines to create scalable data products for Product and Ops teams. Lead the structuring of governed data models and automate operational workflows to foster a self-service, data-driven culture.
Develop high-impact reporting and automated analytics to provide visibility into business operations across various functions. Partner with internal stakeholders to define KPIs and enable self-service analytics while maintaining data quality standards.
The role involves migrating BI platforms from Looker to Power BI and ensuring data accuracy through validation and QA. Additionally, the intern will develop dbt tests and optimize SQL queries to improve dashboard performance.
Redesign a SharePoint-based workflow into a scalable database-backed solution and implement ETL processes for CSV data. Maintain synchronization between the new database and existing Power Apps while providing technical recommendations to stakeholders.
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Lead the development and governance of analytics engineering standards and data architecture for government clients. Transform complex, externally sourced data into standardized models to enable scalable reporting and strategic decision-making.
The role focuses on analytics engineering specifically within the Identity domain to support mental healthcare delivery. The engineer will build and maintain data pipelines to improve precision mental healthcare outcomes.
Senior Analytics Engineer - Databricks, Semantic Layer & AI Readiness
Gravity Team
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Full Time
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3 Weeks Ago
Gravity Team
Build and scale a next-generation analytics platform in Databricks to power trusted data products and AI-driven decision-making. Collaborate with the BI Lead to deliver technical roadmaps, gold models, and semantic layers while enabling stakeholder self-service analytics.
The Senior Analytics Engineer will own and scale the reporting infrastructure using Redshift, dbt, and Tableau to transform raw data into actionable insights. They will develop scalable data models and partner with stakeholders to support operational decision-making across the organization.
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