Phone & Data Entry Specialist
Location
United States
Posted
38 days ago
Salary
$19 - $29 / hour
Seniority
Entry Level
No structured requirement data.
Job Description
Phone & Data Entry Specialist
Gateway Center
Role Description Help our essential workers get to the frontlines! We are looking for phone and data entry specialists to play a part in connecting nurses with healthcare facilities needing to fill shifts. You will navigate online to verify the nurses’ credentials after they’ve selected the healthcare facility they would like to work with. You’ll then follow-up with the nurse with a written message to confirm if their credentials are valid for that facility. You will also be handling follow up phone calls with those checking on the status of picking up shifts. Join Five Star Call Centers and become part of this critical team helping our essential healthcare workers. Position Responsibilities - Manage large amounts of inbound or outbound calls in a timely manner - Follow communication "scripts" when handling different topics - Identify customers' needs, clarify information, research and provide solutions and/or alternatives - Access company and client resources provided to accurately handle the call/record - Perform Data Entry and Customer Service skills - Be able to navigate online efficiently - Work requests/records received for those requesting to sign up for shifts - Identify customers' needs, research to see if request has credentials needed - Skillfully change from one task to another without loss of efficiency or composure - Actively participate in efforts to support customer satisfaction and maintain quality - Effectively communicate with patience and understanding - Remain positive and professional in all internal and external customer interactions - Be available at your desk, maintaining punctuality and attendance at all scheduled times - Physically be able to meet the demands of the job within the described work environment - Apply personal ethics, honesty, initiative, flexibility, responsibility and confidentiality in all areas - Flexibility to cross train as requested - Maintain the utmost confidentiality and security as it pertains to the Five Star Electronic Communications Privacy Act - Perform other duties as assigned Note: Management reserves the right to assign or reassign functions and responsibilities to this job description at any time. Qualifications - A high school diploma or GED is preferred - Previous 1 year data entry preferred - Must be at least 18 years of age Requirements - Strong phone and verbal communication skills along with active listening - Excellent written communication skills - Customer focus and adaptability to different personality types - Regularly required to sit - Regularly required to use hands to feel, handle and control objects - Occasionally required to reach, stoop, kneel, or crouch - Occasionally required to lift and/or carry loads of up to 30 lbs - All standard vision abilities are required - All standard hearing abilities are required Benefits - Keeping our employees and our community healthy and safe! - Multiple sanitation areas in the facility - Social distancing in shared areas - Staying home when sick
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Diseñar y mantener arquitecturas de datos escalables y seguras. • Integrar, limpiar y transformar grandes volúmenes de datos provenientes de diversas fuentes. • Implementar procesos ETL y pipelines de datos eficientes. • Colaborar con equipos de analítica y BI para garantizar la calidad y disponibilidad de la información. • Optimizar bases de datos y sistemas para mejorar el rendimiento.
Senior Data Engineer, Data Platform
VirtasantWe are a global, diverse team of cloud experts building the next generation of cloud solutions.
• Own and scale a modern healthcare data platform — building core services, automation, and observability that power real-world patient and provider outcomes • Architect and build core services, automation tools, and integrations that power our client's data ecosystem • Own high-impact platform components, improve pipeline reliability and observability • Partner closely with data engineering, analytics, and DevOps to advance the scalability and developer experience of our client's data platform
Data Engineer – Contractor
myPOSBy combining the latest payment technologies with imagination and expertise, we create a new world of payments.
• Design, build, and operate scalable, reliable data pipelines and data infrastructure • Ensure high-quality data is accessible, trusted, and ready for analytics and data science • Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations • Develop and evolve scalable data architecture to meet business and performance requirements • Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics • Implement best practices for data quality, testing, monitoring, lineage, and reliability • Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies) • Ensure secure data handling and compliance with relevant data protection standards and internal policies • Contribute to documentation, standards, and continuous improvement of data platform and engineering processes • Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices • Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code
Role Description As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. - Assist in collecting, cleaning, and preprocessing data from various sources. - Perform exploratory data analysis to identify trends, patterns, and anomalies. - Develop and implement machine learning models and algorithms. - Create data visualizations and reports to communicate findings to stakeholders. - Collaborate with team members on data-driven projects and research. - Participate in meetings and contribute to discussions on project progress and strategy. - Work with large datasets to clean, preprocess, and analyze data. - Build and deploy statistical and machine learning models to generate actionable insights. - Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. - Assist in the creation of data visualizations and dashboards for reporting insights. - Support the development and improvement of data pipelines and algorithms. - Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. - Contribute to the documentation and presentation of results, findings, and recommendations. - Participate in team meetings, brainstorming sessions, and project discussions. Qualifications - Any Graduate / PassOuts / Freshers can apply. - Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. - Proficiency in programming languages such as Python, R, or SQL. - Strong foundation in statistics, probability, and data analysis techniques. Requirements - Duration: 2 Months (with the possibility of extending up to 6 months). - MODE: Work From Home (Online). Benefits - Internship Certificate. - Letter of recommendation. - Stipend Performance Based. - Part time work from home (2-3 Hrs per day). - 5 days a week, Fully Flexible Shift.


