Top Remote Data & Analytics Jobs

As a Data Engineer at Reach Financial, you'll develop and manage data pipelines, collaborate with data scientists and analysts, maintain documentation, and troubleshoot issues while modernizing the company's data platform. You'll work closely with Lead and Senior Data Engineers and help evaluate new tools for optimizing the data ecosystem.

As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.

The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.

The Data Analyst role involves analyzing automotive data to ensure accuracy and completeness, developing and maintaining databases, executing complex SQL queries, and providing insights on marketing metrics. The analyst will also collaborate with various departments to enhance data practices and ensure compliance with policies.

Consultants at Hayden lead project workstreams, design and execute analytical work plans, mentor junior staff, and deliver client insights. They focus on data analysis, project oversight, and ensuring high-quality deliverables through rigorous methodologies in the life sciences industry.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.