Own the marketing and business intelligence layer by ensuring reporting reliability and building scalable data models. Partner with marketing and commercial teams to translate business needs into actionable insights and key metrics.
Remote Analytics Engineer Jobs (269)
Search = Analytics Engineer
The Senior Analytics Engineer is responsible for producing, documenting, and curating certified data sources and models to empower business units. They transform data pipelines into useful models for analytics and self-service data champions to drive business insights.
The role involves designing event schemas and building reports to translate business questions into data and marketing solutions. You will own the end-to-end execution of marketing campaigns, from audience orchestration to measurement and iteration.
Build robust data models and infrastructure to support reconciliation, internal reporting, and the tracking of crypto and fiat movements. Collaborate with finance and engineering teams to develop 'The Ledger' and support Accounting and FP&A functions.
The role involves building scalable data infrastructure and dimensional models using dbt to drive strategic business decisions. You will partner with leadership to define KPIs and create self-service reporting tools in Looker and Databricks.
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Design and implement ETL/ELT pipelines and transformation layers to ensure data accuracy for product and business decision-making. Build data quality checks and monitor key datasets while documenting data models and metrics.
The Staff Analytics Engineer transforms data into business insights by developing scalable data pipelines and designing analytics solutions. They lead technical initiatives, implement DataOps practices, and collaborate with architecture teams to evolve the machine learning platform.
Own and scale the customer data infrastructure and event instrumentation ecosystem using Segment. Partner with cross-functional teams to ensure high-quality event tracking and reliable data flows for marketing and analytics tools.
Develop complex SQL queries and data transformations to build sophisticated dashboards that tell a story. Orchestrate and model data using DBT and Databricks to optimize analysis processes.
Design and maintain scalable data pipelines and platforms to support AI, reporting, and business intelligence. Collaborate with architects and stakeholders to ensure high-quality data availability across the organization.
Senior React / Full-Stack Web Engineer (Analytics Platform)
Somnio Software
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Full Time
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4 Weeks Ago
Somnio Software
Develop and evolve internal analytics platforms and back-office experiences using Next.js and React. Focus on delivering high-performance, data-heavy interfaces that integrate with contract-driven backend services.
![CI&T is hiring for remote [Job-29268] Data & Analytics Engineer, Colombia](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
The role involves conducting EDA and feature engineering to build ML models for demand forecasting and resource optimization. Additionally, the engineer will develop data pipelines and create operational dashboards using BI tools.
Design and develop Python-based analytical applications and data pipelines to transform complex data into actionable intelligence. Collaborate with stakeholders to build scalable software solutions, dashboards, and visualizations for operational insights.
Own the growth analytics function by designing and maintaining core marketing data models and ensuring the stability of the marketing tech stack. Collaborate across data and marketing teams to drive data-driven decisions and mentor junior talent.
Own the growth analytics function by designing and maintaining core marketing data models and ensuring the stability of the marketing tech stack. Partner with cross-functional teams to drive data-driven decisions and mentor junior data talent.
Own the growth analytics function by designing and maintaining core marketing data models and ensuring the stability of the marketing tech stack. Collaborate across data and marketing teams to drive data-driven decisions and mentor junior talent.
Design and implement robust data models, pipelines, and self-service analytics tools to optimize ad personalization and marketplace efficiency. Develop key metrics and monitoring solutions for machine learning models to drive actionable business recommendations.
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Own the movement of data from the platform to stakeholders by building trusted self-service assets and semantic layers. Develop data products and user-facing dashboards while leveraging AI to automate internal data workflows.
Analytics Engineer II (Epic Cogito, Power BI)
Children's Health
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Full Time
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5 Weeks Ago
Children's Health
The Analytics Engineer II will operationalize analytics artifacts, build semantic layers, and improve data model performance across clinical and operational domains. They will collaborate with stakeholders to translate business requirements into repeatable, high-quality analytics products.
The Senior Analytics Engineer will design, build, and maintain scalable data pipelines to support cross-functional teams including Product, Engineering, and Marketing. They will also define and instrument key business metrics while ensuring data quality and reliability across the organization.
Design, build, and maintain curated datasets and metric definitions to ensure reliable, consistent reporting across the organization. Partner with stakeholders to translate business requirements into data models while documenting logic for both human and AI-powered query tools.
The Solution Engineer designs, develops, and supports analytics solutions while serving as the primary escalation point for assigned systems. They collaborate with stakeholders, data engineers, and data scientists to build high-performance data models and ensure analytics processes meet business requirements.
You will serve as a data architect for Borrowing data, designing scalable models and maintaining best practices for the data warehouse. Additionally, you will lead technical initiatives to elevate data standards and collaborate with cross-functional teams to support reporting, machine learning, and regulatory requirements.
The Lead Analytics Engineer will serve as a data architect for borrowing data, designing scalable models and maintaining best practices for the data warehouse. They will lead technical initiatives, ensure data integrity, and collaborate across teams to support reporting, machine learning, and regulatory requirements.
You will take technical ownership of the data warehouse, evolving it from an MVP into a scalable, high-performance platform. This includes developing robust data models, managing pipelines with Airflow, and establishing best practices for data quality and governance.
You will take technical ownership of the data warehouse, evolving it from an MVP into a scalable, high-performance platform. This includes developing robust data models, managing pipelines with Airflow, and establishing best practices for data quality and governance.
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The Senior Analytics Engineer will architect, build, and maintain scalable data pipelines and analytics infrastructure to support real-time insights. They will collaborate with cross-functional teams to design secure data models and reporting systems that drive business decisions.
You will integrate the data stack with mobile and web products while developing AI-powered reporting and insights. Additionally, you will build reports and dashboards to support internal teams and external customers with data-driven analysis.
The Senior Analytics Engineer will own and evolve end-to-end analytics data pipelines, including design, maintenance, and monitoring. They will also build trustworthy self-serve data products and dashboards to enable data-driven decision-making across various business departments.
The Analytics Engineer will build and improve data models to enable reliable decision-making across Product, Risk, and Analytics teams. They will also focus on reducing bottlenecks by delivering clean, scalable datasets and improving overall data quality.
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