As a Security Analytics Engineer, you will analyze security data and build insights to enhance vulnerability management. You will design metrics and analytics, develop dashboards, and provide actionable intelligence to strengthen security posture.
Remote Analytics Engineer Jobs (306)
Search = Analytics Engineer
Own and maintain key product metrics while analyzing user behavior to generate insights that shape product strategy. Collaborate with cross-functional teams to drive a culture of data-informed decision-making.
Analytics Engineer II (REMOTE)
DICK'S Sporting Goods
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Full Time
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41 Weeks Ago
DICK'S Sporting Goods
The Analytics Engineer II role will support the Executive and Athlete portfolio by designing and building data models and Power BI dashboards to solve business problems. This includes collaborating with various teams to understand data needs and translating those into effective BI solutions.
Lead Analytics Engineer - 10855
Coupa Software, Inc.
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Full Time
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41 Weeks Ago
Coupa Software, Inc.
As a Lead Analytics Engineer, you'll architect the data foundation that powers strategic decisions across the organization. You'll transform raw data into trusted, reusable data products using DBT and modern data tools.
Senior Analytics Engineer, People Analytics (one-year contract) 11 APPLICANTS
Wolt - English
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Full Time
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42 Weeks Ago
Wolt - English
You will build dashboards and reports on key people metrics and transform people data for analytics use cases. Collaborating closely with HR and leadership, you will provide insights to guide decision-making.
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You will lead the development of the Analytics Toolbox framework and define the strategy for spatial analytics across heterogeneous cloud engines. Additionally, you will represent the company in open-source standards groups and drive the integration of AI-native execution surfaces.
Develop and maintain robust data infrastructure and pipelines to support medical analytics and HCP prioritization models. Collaborate with cross-functional teams to design technical architectures and ensure high-quality data delivery for analytical projects.
The Analytics Platform Engineer will own and support the operational layer of the analytics platform, ensuring the reliability and performance of data pipelines. Responsibilities include managing on-call activities, optimizing Apache Airflow DAGs, and maintaining dbt CI/CD processes.
Design and ship full-stack features using TypeScript, React, and AWS Lambda while managing the production lifecycle including CI/CD and infrastructure. Collaborate with a small team to build analytics experiences and contribute to AI-driven development workflows.
The Analytics Data Engineer designs, builds, and maintains curated data products to support reporting and strategic decision-making. This role transforms raw operational data into trusted datasets and serves as a bridge between data engineering and business intelligence.
The Analytics Data Engineer will design, develop, and maintain scalable data pipelines and an authoritative Lakehouse within the Analytics Platform. They will also leverage advanced analytics and AI to analyze program data, providing insights to support data-driven decision-making for Federal government clients.
Build and maintain a state-of-the-art digital analytics program to provide insights across multiple web platforms. Oversee data collection, tag management, and integration with data lake engineers to optimize the customer journey.
Lead the design, development, and implementation of SAP-based data and analytics solutions, focusing on SAC and S/4HANA. Create data models and professional dashboards to provide insightful data presentations for C-level executives and department heads.
Lead the design, development, and implementation of SAP-based data and analytics solutions, focusing on SAC and S/4HANA. Create data models and professional dashboards to provide insightful data presentation for C-level executives and department heads.
The role involves building and optimizing modern data platforms and developing scalable data pipelines. It also focuses on supporting cloud-based analytics solutions within a dynamic international team.
The Senior Solutions Engineer manages end-to-end client delivery, from data modeling and transformation in dbt to final reporting. They are responsible for building dashboards in BI platforms and providing actionable marketing insights to clients.
Develop web APIs and DBT data pipelines to simulate electricity costs and calculate ROI for clean energy technologies. Translate complex product and subject matter expert requirements into technical designs and implementation plans.
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Lead the development and maintenance of AI-powered tools and scalable applications to automate HR workflows and people operations. Partner with cross-functional stakeholders to integrate people systems with enterprise platforms and drive productivity gains.
Senior Keyfactor AgileSec Analytics Platform Engineer lead - Hybrid
Simple Solutions
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Full Time
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11 Weeks Ago
Simple Solutions
Lead the end-to-end onboarding, architectural design, and operationalization of the AgileSec Analytics platform. Establish repeatable deployment frameworks, create technical runbooks, and manage system-to-system integrations.
Senior AgileSec Analytics Platform Engineer lead - Hybrid
Simple Solutions
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Full Time
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12 Weeks Ago
Simple Solutions
Lead the end-to-end onboarding, architectural design, and operationalization of the AgileSec Analytics platform. Establish repeatable deployment frameworks and author comprehensive operational runbooks for system administrators and users.
AI Expert Principal Software Engineer – Healthcare Analytics- Remote
Oracle
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Full Time
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13 Weeks Ago
Oracle
Design and build high-scale, cloud-based data processing pipelines to analyze massive volumes of healthcare data. Leverage LLMs and AI agents to automate workflows and optimize revenue cycle management and clinical decision support.
AI Expert Senior Software Engineer – Healthcare Analytics - Remote
Oracle
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Full Time
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13 Weeks Ago
Oracle
Design and build high-scale, cloud-based data processing pipelines to analyze massive volumes of healthcare data. Leverage LLMs and AI agents to automate workflows and provide clinical decision support and revenue optimization.
You will design and maintain the billing pipeline, including usage ingestion, metering, rating, and integration with financial platforms. Additionally, you will develop customer-facing billing dashboards and internal analytics tools to support revenue operations and business intelligence.
The Data Engineer will be responsible for developing and maintaining data pipelines, transformation logic, and data quality checks within a complex multi-jurisdiction financial data platform. This includes implementing enhancements to existing reporting processes and designing new reporting pipelines aligned with business requirements.
The Advanced Analytics / AI Engineer will design and implement analytics solutions using MS Dynamics and Azure to support business objectives. They will also develop machine learning models and collaborate with cross-functional teams to derive actionable insights from complex datasets.
You will lead technical discovery and design scalable, high-performance data solutions on Google Cloud Platform to meet client business goals. Additionally, you will build and maintain ETL/ELT pipelines while ensuring data quality, security, and performance optimization.
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Lead the establishment of a FinOps practice to drive sustainable cost management and optimization across multiple product and platform groups. Design and implement automated cost monitoring, alerting, and allocation solutions while collaborating with engineering teams to improve infrastructure efficiency.
The role involves building the data foundation and analytics layers using Microsoft Fabric and Power BI to turn raw data into actionable business insights. Responsibilities include designing scalable data pipelines, developing semantic models, and partnering with cross-functional teams to enable data-driven decision-making.
Senior Power Systems Engineer - Modeling & Analytics (REMOTE)
IIIIIIUS
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Full Time
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2 Weeks Ago
IIIIIIUS
Lead a team of engineers in providing advanced power systems modeling and analytics for electric utility clients. Responsibilities include performing complex transmission and distribution analyses, managing project budgets and timelines, and developing automation scripts.
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