Top Remote Data & Analytics Jobs
The HRIS Reporting Analyst is responsible for managing and developing reporting capabilities in Workday, including creating dashboards, running reports, conducting audits, and performing ad hoc analysis on data. They ensure accurate reporting processes and improve data integrity within the HRIS system.
The Financial Data Scientist will analyze customer churn and deactivations, leveraging data to identify trends and develop forecasting models. Responsibilities include collaborating on retention strategies, conducting root cause analysis, and providing strategic recommendations to enhance customer retention. Proficiency in Python, SQL, and Alteryx is required for data analysis and reporting.
As a Senior Data Analyst, you will analyze digital performance data, improving customer engagement and conversion rates. Your role includes monitoring KPIs, creating dashboards, providing insights based on marketing metrics, and collaborating across teams to support data-driven decision-making.
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The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Senior Manager of People Strategy and Analytics, you will collaborate with senior leadership to implement HR strategies, drive operational efficiency, and leverage data-driven insights to foster an engaging workplace. You'll establish metrics to measure performance, streamline processes, and lead change initiatives across the People Team, ensuring alignment with Attentive's goals.
The Revenue Operations Analyst will work with internal and external teams to develop strategies for project execution, convert backlog orders into revenue, analyze business data for decision-making, and maintain tracking processes to enhance revenue growth.
The Analyst, Government Affairs will coordinate Gov/Regulatory Affairs work, track and resolve regulatory complaints, support the regulatory team by leveraging Oscar systems, and ensure compliance with laws and regulations.
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
The Senior Data Engineer will develop and maintain data pipelines, design data models, and work with stakeholders to align data solutions with business objectives. Responsibilities include enhancing data infrastructure, ensuring data compliance, and supporting data visualization tools like Power BI.
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The Data Engineer at AHEAD will build and support data platforms, design data pipelines for analytics and machine learning, and implement solutions using cloud-native tools. Responsibilities include processing data from diverse sources, troubleshooting issues, and collaborating with project teams to ensure timely delivery of data solutions.
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