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Top Remote Analytics Engineer Jobs
The Data Analytics Engineer will support reporting and analytics by exploring data, ensuring quality models, collaborating with teams, and maintaining the data warehouse. Responsibilities include developing documentation and enhancing business outcomes through data-driven insights.
As an Analytics Engineer, you will implement and improve analytics infrastructure, build data pipelines for analysis and reporting, and collaborate with stakeholders to develop dashboards. Your role includes writing clean, maintainable code and understanding user needs, while adhering to best practices in data management.
As a Senior Analytics Engineer, you will design, build, and maintain data models, collaborate with various teams on data transformations and governance, and ensure high-quality data products. Your role will focus on leveraging tools like dbt and Snowflake to drive innovation and informed decision-making across the organization.
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The Senior Data Engineer will build and optimize data pipelines, define reusable data sets for business analytics, and design a data validation framework. Responsibilities include ensuring data privacy and security while facilitating cross-team data utilization.
As an Analytics Engineer at InStride, you will design and optimize dimensional data models in Databricks, ingest data from various sources using SQL and Python, and build Tableau dashboards for business insights. You will collaborate with teams to define key metrics and optimize ETL processes for performance, while maintaining documentation and adhering to best data practices.
The Senior Recruiting Data Visualization Analyst at Dropbox will lead dashboard development in Tableau, collaborate with stakeholders to understand data needs, and improve HR and recruiting metrics through data analysis. The role requires creating intuitive visualizations and analytics capabilities while addressing data quality issues and operational inefficiencies.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
As an Analytics Engineer, you will work with cross-functional teams to build and maintain the data warehouse, improve data usability, quality, and reliability, and develop data quality rules and documentation.
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As a Senior Analytics Engineer, you will develop critical data products, partner with cross-functional teams to identify data needs, and translate requirements into scalable queries. You will enhance data quality and compliance while engaging with data users to ensure successful outcomes from analytical products.
As an Analytics Engineer at Flipside Crypto, you'll create detailed analytics product specifications and metrics while partnering with engineering and data science teams. Responsibilities include writing SQL code, ensuring data accuracy, building data models, and mentoring analysts. You'll analyze blockchain data and serve as a key data contact for customer projects.
The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.
As a Data & Analytics Engineer at Rinsed, you will design data pipelines, transform point-of-sale data into insights, and create dashboards for customer use. You'll collaborate with teams to track decisions, automate internal processes, and communicate findings to stakeholders.
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
As a Staff Analytics Engineer, you will design and implement data models and pipelines, working cross-functionally to provide reliable data services for analytical and reporting use cases. Your responsibilities include building data tools, ensuring data quality, and documenting standards and practices.
As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.
Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.
As an Analytics Engineer, you will develop and manage data models and reporting infrastructure, support new data integrations, and build automated reporting systems. You will collaborate with various stakeholders to enhance analytics capabilities and ensure appropriate documentation is maintained.
As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.
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As an Analytics Engineer, you will build analytical models to enhance product design and provide insights for school administrators. Collaborating with data teams, you will architect data warehouse schemas, implement data pipelines, and ensure data privacy. You'll also engage with marketing and sales teams to create cohesive data marts from various source systems, while continuously learning and participating in agile practices.
The Analytics Engineer at Minitab is responsible for providing customer support, resolving inquiries, improving customer satisfaction, helping with product deployment, and collaborating with various teams. They will capture customer feedback, enhance processes, and represent customer interests across functions.
The role focuses on delivering reporting and analytics solutions within the Epic Cogito Clarity Custody Health area, requiring strong SQL development skills and collaboration with clinical leaders. Responsibilities include requirements gathering, coding, testing, and mentoring junior developers in best practices.
Company Description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new coll...
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As a Senior Data Analytics Engineer, you will support cross-functional teams with data analysis, build and maintain dashboards, and develop and manage data pipelines. Your work will involve creating reusable datasets and components for data analytics, ensuring data quality, and communicating insights effectively to stakeholders.
As a Staff Analytics Engineer, you will design and build data pipelines and infrastructure to enhance operational performance. Collaborating with data scientists and engineers, you'll ensure clean, accessible data and contribute to data strategy focusing on quality and governance. Mentor junior team members and optimize data systems for business operations.
As an Analytics Engineer, you will create and optimize data models, work with product and engineering teams to ensure accurate data generation, collaborate with stakeholders on project timelines, and improve data processes using various analytics tools.
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