- Remote Data Entry
Data Entry
Job Search Results
5,151 to 5,200 of 6,296 for Data Entry
Analyze ambiguous business problems to provide actionable insights, manage data metrics and visualizations, guide code reviews, and uphold statistical rigor in experimentation and causal analyses to support decision-making processes.
Deploy and integrate a data analytic project at multiple DoD ranges, resolve deployment issues, and collaborate with system administrators and developers to ensure successful implementation within diverse environments.
Monitor and analyze billing activities, implement policies to optimize reimbursement, and educate clinical staff on coding issues while ensuring compliance with regulations and improving operational efficiency.
Build and maintain data pipelines while designing event tracking systems. Conduct in-depth analyses to inform product development and automate queries for streamlined analytics, driving innovation and uncovering new AI use cases.
Assist clients in their cloud journey, focusing on data engineering, migration, and infrastructure solutions. Collaborate on projects utilizing Azure and Databricks, ensuring effective data management and client satisfaction throughout the process.
Deliver remote peer health coaching to undergraduate students, support health behavior goal achievement, document coaching sessions accurately, and assist with study operations within a behavioral health research framework.
Oversee all planning and scheduling activities, mentor scheduling teams, ensure compliance with corporate standards, and implement safety programs while fostering a collaborative and resourceful environment for project success.
Manage the new hire onboarding process, administer background checks, and conduct check-ins to enhance employee experience while maintaining HRIS data and responding to HR-related queries effectively.
Review and assign ICD-10-CM and PCS codes to inpatient records, ensuring compliance with guidelines. Communicate with physicians for documentation clarification and maintain accuracy standards while participating in ongoing education and team meetings.
Manage client data processing and quality control, serve as a point of escalation for issues, generate reports for stakeholders, and collaborate with teams to enhance data fidelity and operational support.
Execute data science projects using Python, Tableau, and SQL to improve business decisions. Manage machine learning deployments and create data visualizations. Consult with teams to address high-value business problems.
Utilize advanced analytics and modeling to enhance business outcomes, mentor team members, and lead cross-functional projects while leveraging customer data to drive strategic decisions and operationalize insights effectively.
Lead data analysis processes to deliver actionable insights, develop key metrics and visualization templates, and enhance analytics capabilities through innovative methods and tools. Collaborate with cross-functional teams to drive performance...
Design and manage data platforms and products by defining data strategies, collaborating with stakeholders, and analyzing data to drive product improvements and establish key performance indicators for measuring success.
Lead analytics to uncover insights that enhance business decisions and customer experiences, utilizing advanced analytics techniques, building data visualizations, and mentoring team members to drive product optimization.
Provide technical leadership in ML and AI, engage with clients to address business challenges, and collaborate with teams to deliver high-quality ML solutions while fostering strong client relationships and driving AI adoption.
Design and implement scalable data pipelines and architectures, collaborate with cross-functional teams to deliver data-driven solutions, and ensure data quality, reliability, and security across platforms while optimizing workflows for efficiency.
Lead the development of advanced analytics and machine learning solutions, conduct in-depth data analysis to generate actionable insights, and collaborate with teams to solve complex business problems while enhancing organizational capabilities.
Manage civil site design projects by implementing PM procedures, collaborating with stakeholders on project plans, and ensuring objectives are met within budget and timeline while providing technical leadership on data center projects.
Lead the design and delivery of data solutions that enhance customer-facing applications, ensuring alignment with product requirements while advocating for data quality and best practices across engineering teams.
Design and maintain scalable ETL/ELT data pipelines and a central data warehouse, ensuring data quality and integrity while collaborating with teams to meet their data needs and transform raw data into actionable insights.
Manage comprehensive Cancer Registry data by identifying cases, conducting quality reviews, and ensuring compliance with reporting guidelines. Analyze data for reporting and participate in continuous education to maintain credentials.
Lead and refine investigative projects across multiple channels, train journalists in storytelling and production techniques, and foster a collaborative environment while managing relationships with internal and external news partners.
Provide exceptional support in creditor rights matters by accurately updating legal documentation, completing assigned tasks within deadlines, and communicating effectively with internal and external parties to ensure compliance and quality legal...
Manage the full lifecycle of vendor contracts, negotiate competitive rates and terms, and maintain proactive communication with cross-functional teams to ensure alignment with program and quality objectives.
Lead data engineering efforts by building scalable ETL pipelines, ensuring data integrity, and collaborating with cross-functional teams to deliver actionable insights that drive strategic growth and enhance business intelligence capabilities.
Conduct configuration management and data management activities, maintain product integrity through robust principles, define configuration baselines for traceability, and oversee data management processes to ensure technical data accuracy and...
Perform day-to-day pharmacovigilance activities, including monitoring and evaluating safety information, coordinating project implementation, and maintaining regulatory safety reports while ensuring compliance with industry standards.
Lead the data science and product analytics strategy, build high-performing teams, and collaborate cross-functionally to drive data-driven insights and optimize user experiences, enhancing product development and business growth.
Ensure reliable operation of ETL pipelines by monitoring data flows and maintaining data quality. Develop automated validation rules for data accuracy and collaborate with cross-functional teams to enhance operational workflows and resolve data issues.
Lead data acquisition team to manage complex civic data collection, ensure data accuracy, collaborate with sales and marketing for insights, and develop tools for efficient data ingestion and processing.
Design and implement systems for data accuracy, analyze production behaviors, and derive actionable insights through statistical analysis to enhance data-driven investment strategies and ensure optimal performance of trading systems.
Own the roadmap for product metrics and reporting, establish a single source of truth for internal metrics, and deliver executive-ready dashboards that drive accountability and transparency across product lines.
Own the roadmap for core product metrics and reporting, build a single source of truth for internal metrics, and partner with cross-functional teams to deliver accurate reporting and drive transparency across the organization.
Lead the design and execution of data models, implement ETL solutions, and enhance data workflows while providing technical guidance to the team and collaborating cross-functionally to advance initiatives.
Lead the technical vision for ML-oriented data products, architect distributed systems at scale, and ensure data quality and reliability while collaborating with cross-functional teams to enhance the ML developer experience.
Coordinate medical record reviews, ensure accuracy and timeliness of health information, analyze and interpret data, and liaise with external reporting agencies for compliance and ongoing medical record activities.
Design and build scalable data solutions, implement data architectures for efficiency, and collaborate with cross-functional teams to operationalize machine-learning models while ensuring high-quality data delivery.
Collaborate with customers to enhance quality through design and qualification processes. Evaluate supplier capabilities and drive improvements while managing multiple projects effectively within a dynamic engineering environment.
Lead the enterprise data management function and roadmap, ensure successful delivery of data management initiatives, and maintain architecture standards and best practices for transformative data solutions across the organization.
Drive the full sales lifecycle for AI-powered cloud solutions, build relationships with C-level executives, and collaborate with internal teams to develop tailored proposals while consistently meeting sales targets.
Analyze healthcare data to identify trends and insights, develop statistical models, create dashboards for stakeholder communication, and provide actionable recommendations to enhance operational efficiency and care delivery.
Lead design projects from inception to delivery, enhance product experience through interaction design, utilize user research for design concepts, and mentor team members to foster a collaborative environment.
Recreate and validate Bills of Materials within Dynamics 365, support SKU setup and maintenance, and assist with data cleanup and reconciliation during system migration to ensure accuracy and operational efficiency.
Drive business growth by exceeding sales targets and managing key accounts in the data center sector. Collaborate with teams to align offerings with industry trends and deliver training for stakeholders.
Analyze large-scale pricing datasets to identify trends, architect pricing intelligence systems using statistical ML methods, and develop strategic pricing algorithms that drive business impact in a fast-paced environment.
Lead a team to develop frameworks and tools for data storage services, drive business and engineering metrics, and collaborate on technical projects while mentoring engineers to foster growth and innovation.
Collaborate to integrate data-thinking into marketing software development, design and maintain core marketing datasets, drive data quality, and build innovative marketing data products to support evolving business needs.
Drive strategic data science initiatives, lead in-depth analyses of healthcare data, and mentor junior team members to enhance decision-making and business outcomes through effective communication and advanced modeling techniques.
Drive impactful data analysis and A/B testing to inform product decisions, maintain reliable data pipelines, and collaborate with cross-functional teams to enhance user experiences and generate significant business impact.
Work Model
Contract Type
FAQs about remote data entry jobs
Are remote data entry jobs legitimate?
Is it hard to get a remote data entry job?
To stand out, highlight your speed and familiarity with tools like Excel, Google Sheets, or data management systems. Having prior clerical or transcription experience can also help.
What companies hire for data entry remotely?
- Healthcare companies: process patient data, billing, or insurance forms
- Market research firms: manage survey results and consumer data
- E-commerce companies: handle inventory records, orders, and product listings
- Staffing agencies: companies like Robert Half and Kelly Services often list remote data entry openings
- Government contractors and non-profits: manage grants, applications, or compliance documentation
