Build and maintain analytical frameworks and valuation engines for Virtual Power Plants and energy portfolio strategies. Design data pipelines and reporting layers to track battery dispatch, P&L analytics, and financial risk metrics.
Remote Analytics Engineer Jobs (300)
Search = Analytics Engineer
The role involves designing and maintaining core metrics and semantic models to power content finance planning and executive reporting. You will act as a strategic partner to finance stakeholders to deliver end-to-end data products that drive investment decisions.
Deliver high-quality data insights and Power BI dashboards to support data-driven product and operational decisions. Coordinate between data and business teams to optimize processes and support strategic business cases.
Deliver high-quality data insights and Power BI dashboards to support data-driven product and operational decisions. Identify trends and anomalies in datasets to optimize business processes and support strategic business cases.
Data Analytics Engineer II
Mercury Insurance Services, LLC
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Full Time
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7 Weeks Ago
Mercury Insurance Services, LLC
Build and scale a next-generation enterprise metrics store and semantic layer using dbt to enable insights across various business domains. Partner with stakeholders to translate ambiguous business questions into structured metrics and actionable analytical patterns.
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Lead end-to-end BI and analytics engagements for clients, from discovery and requirement gathering to delivery. Design data architectures and build ETL pipelines and dashboards to turn raw data into business outcomes.
Design and build reusable components and ETL pipelines to support ML model calibration and data ingestion. Model raw data into clean datasets and maintain documentation for data flow and architectural vision.
Build and activate company-wide data assets in Snowflake by designing efficient data models and pipelines using DBT. Collaborate with stakeholders to implement metrics and dimensions that enable self-service analysis and trusted KPI reporting.
Senior Analytics Engineer (Breakthrough)
U.S. Venture, Inc.
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Full Time
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8 Weeks Ago
U.S. Venture, Inc.
Design and implement scalable analytics solutions, including data modeling and efficient ETL processes. Collaborate with cross-functional teams to build product features and mentor other engineers to elevate technical standards.
Lead the migration from a legacy SQL Server stack to a modern cloud stack using Snowflake, dbt, and Tableau. Design and build data pipelines and multi-dimensional data models to support business intelligence and stakeholder reporting.
Own the dbt model library, data pipelines, and warehouse architecture to create a reliable data spine for executive KPIs. Collaborate with cross-functional teams like Finance and Engineering to translate business needs into technical infrastructure.
Develop robust data pipelines and semantic data models to enable company-wide actionable insights and data-driven decisions. Partner with cross-functional stakeholders to build dashboards, alerting systems, and maintain data governance policies.
Design, develop, and maintain scalable data pipelines, ETL processes, and data models to support business operations. Collaborate with stakeholders and data scientists to ensure data quality and implement data-driven visualizations.
Build and maintain data pipelines, models, and dashboards to transform data into actionable insights for product and business stakeholders. Partner cross-functionally to define metrics, measure customer engagement, and evaluate business initiatives.
Develop and maintain scalable ETL pipelines and data models to transform raw data into actionable insights. Collaborate with data scientists and stakeholders to implement machine learning models and ensure data quality.
The role focuses on the technical implementation of GA4 and Google Tag Manager to ensure accurate data tracking across various client properties. Responsibilities include configuring events, building Looker Studio dashboards, and troubleshooting tracking issues.
The role involves collaborating with business areas to translate needs into quantitative metrics and data modeling solutions. Responsibilities include architecting analytical data structures and orchestrating data pipeline workflows.
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Design, build, and maintain dbt models in Snowflake to serve as reliable sources of truth for the company. Collaborate cross-functionally to align on metrics and champion the adoption of AI-assisted tools in data workflows.
Design and evolve high-scale dbt models and semantic layers to ensure consistent metrics for human analysts and AI agents. Act as a technical leader across data engineering and product teams to reduce cycle times from business questions to validated insights.
Contract: Sr. Analytics Engineer - Internal Data 92 APPLICANTS
Newsela
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Full Time
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10 Weeks Ago
Newsela
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.
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.
![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.
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.
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.
![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.
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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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