Top Remote Analytics Jobs

As an Analytics Engineer I, you will manage the data pipeline between raw data systems and financial data users, partner with Finance to create Certified Datasets, automate processes through programming, validate data structures with Engineering, and ensure data quality.

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 an Analytics Engineer at Rec Room, you will support the data warehouse and analytics layer, develop ELT pipelines, design dashboards, and collaborate with various teams on data modeling and analysis, while ensuring data quality and scaling infrastructure.

As a Staff Software Engineer, you will develop scalable data storage and processing systems, mentor engineers, shape product strategy, and ensure high-quality engineering processes. Key responsibilities include architecting large-scale systems and optimizing data pipelines for efficiency and performance.

The Operations & Analytics Manager at Aptos will develop strategic plans to optimize operations, manage resources, enhance ecosystem growth, conduct data analytics, and mitigate risks. This role involves collaborating closely with leadership and various departments within the organization.

As a Senior Data Scientist at Discord, you'll partner with teams to analyze and improve user experience through data analytics, A/B testing, and building dashboards. You'll define key metrics, communicate findings to diverse audiences, and collaborate with technical teams to design effective data solutions.

The Senior BI Engineer will develop and optimize data pipelines and dashboards for People Analytics at Coinbase, working with various teams to improve data collection and facilitate informed decision-making.

The Senior Analyst, Marketing Analytics and Insights manages media budgets and ROI for digital marketing programs, optimizing spending across various platforms. Responsibilities include risk assessment, performance reporting, and collaboration within cross-functional teams to create media campaigns. The role involves ad-hoc analyses and strategic planning for marketing efforts.

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.

Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.

The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.

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 a Client Analytics Manager, you will manage client relationships to deliver private advertising solutions, conduct meetings and develop detailed configurations, oversee data integration processes, maintain client communication, create delivery reports, and collaborate with product management for improvements.

As a Client Analytics Manager, responsibilities include managing client relationships, overseeing data integration processes, conducting meetings to establish objectives, developing configuration documents, and collaborating with product management teams for enhancements. The role requires regular communication with clients to ensure satisfaction and effective reporting of KPIs and strategic recommendations.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.

As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.

The Investments Portfolio Analytics Analyst assists in optimizing the investment portfolio analytics platform, validating risk analytics, creating management reports, and producing security data. Responsibilities include maintaining investment data, generating reports, ensuring operational efficiency, and supporting investment related data processes.