Top Remote Data & Analytics Jobs
The Data Analyst I will engage in data collection, maintenance, and analysis to support management decisions. Responsibilities include analyzing data for reporting needs, providing trends and recommendations, and assisting in departmental processes under direct supervision.
The Business Test Analyst is responsible for validating product features and software used by F&G operations teams and external customers. Responsibilities include creating test cases, executing test plans, recording defects, and collaborating with QA teams to enhance automated testing, all while ensuring alignment with business requirements and standards.
The Data Manager 2/REDCap Programmer supports clinical research and epidemiological studies by managing and capturing data. Responsibilities include developing databases and eCRFs, ensuring data quality, conducting QA/QC testing, and creating reports to monitor study progress. The role involves collaboration with a multi-disciplinary team and contributes to the overall data management lifecycle.
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As a Senior Data Analyst at Mission Lane, you will drive analytical outcomes for the Customer Growth team by analyzing campaign performance and implementing data-driven strategies that enhance decision-making. You will automate data processes, improve analytics systems, and provide insights to both technical and non-technical teams, ensuring high-quality results in data-driven decisions.
The Senior Data Analyst at MNTN will analyze data, create visualizations, and support data analysis needs within the Production Operations team. Responsibilities include conducting analytics for stakeholders, debugging data incidents, and collaborating on product improvements based on data insights.
The DoD Process Analyst will work collaboratively to research, prepare, and deliver high-quality solutions for Federal government clients. Responsibilities include developing functional requirements, mapping processes, earning client trust through deliverables, managing time effectively, and contributing to business development efforts.
As an NFL Data Scientist, you will develop and improve machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, performance analysis, documentation, and collaboration with data engineering and product teams.
As an Analytics Lead, you will manage projects for medium- to large-scale clients, overseeing data management, report building, and communication. You'll work with analysts and data scientists to deliver data-driven insights while leading teams and engaging with clients to achieve strategic goals.
The Insight Analyst will analyze subscription data to provide actionable insights, create visualizations and dashboards, and collaborate with Customer Success, Sales, and Marketing teams. The role requires expertise in data analysis and clear communication of findings to clients and stakeholders.
The Senior Data Scientist will support product security efforts by developing machine learning solutions, building data pipelines, and integrating models into game development while collaborating with various departments. The role involves communicating analysis results to both technical and non-technical teams.
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