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3 results for Data Entry Specialist in Greenwich, CT

Data Entry Clerk
  • Westbury, NY
  • onsite
  • Temporary
  • 18 - 21 USD / Hourly
  • <p>We are looking for a detail-oriented Data Entry Clerk to join our team near Hicksville, New York. This is a long-term contract position that requires precision and efficiency in processing data. The ideal candidate will play a vital role in maintaining accurate records and ensuring smooth operations.</p><p><br></p><p>Responsibilities:</p><p>• Accurately input invoice data into internal systems with a focus on precision.</p><p>• Ensure all entries are completed within daily productivity targets, managing approximately 50 invoices per day.</p><p>• Verify and cross-check numerical and text-based data for accuracy and consistency.</p><p>• Maintain organized records of entered data for easy retrieval and reference.</p><p>• Collaborate with team members to resolve discrepancies and improve data processes.</p><p>• Perform routine audits of entered data to ensure compliance with company standards.</p><p>• Utilize computer systems and software efficiently to complete data entry tasks.</p><p>• Follow established procedures and workflows for invoice processing.</p><p>• Manage time effectively to meet daily and weekly deadlines.</p><p>• Uphold confidentiality and security standards when handling sensitive information.</p>
  • 2026-03-12T00:00:00Z
Data Visualization Specialist
  • Stamford, CT
  • onsite
  • Permanent
  • 100000 - 120000 USD / Yearly
  • <p>We are looking for a skilled Power BI Data Visualization Specialist to join our team in Stamford, Connecticut. In this role, you will leverage your expertise in data visualization and storytelling to transform complex datasets into actionable business insights. Your contributions will support decision-making processes and enhance operational efficiency through well-designed dashboards and reports.</p><p><br></p><p>Responsibilities:</p><p>• Create dynamic dashboards and visualizations using Power BI to effectively communicate data insights.</p><p>• Interpret and analyze complex datasets to generate meaningful business recommendations.</p><p>• Ensure data accuracy and integrity by meticulously validating and reconciling information.</p><p>• Collaborate with stakeholders to understand their data needs and deliver tailored solutions.</p><p>• Design intuitive and user-friendly dashboards that align with visualization best practices.</p><p>• Utilize relational data sources to identify and explore data relationships.</p><p>• Develop Power BI reports that are embedded within applications when required.</p><p>• Apply knowledge of structured datasets to extract insights from operational systems.</p><p>• Partner with teams to support data-driven operations in areas such as finance, manufacturing, and supply chain.</p>
  • 2026-03-10T00:00:00Z
Data Analyst
  • New York, NY
  • onsite
  • Temporary
  • 66.5 - 77 USD / Hourly
  • We are looking for an experienced Data Analyst to join our team on a long-term contract basis in New York City, New York. This role involves leveraging data to identify patterns, detect anomalies, and provide actionable insights to enhance decision-making processes. The ideal candidate will have strong analytical skills and expertise in fraud investigation and prevention.<br><br>Responsibilities:<br>• Analyze large datasets to uncover trends, anomalies, and patterns that indicate potential fraud.<br>• Develop and implement fraud detection strategies using advanced analytics and tools.<br>• Collaborate with cross-functional teams to enhance fraud prevention mechanisms and policies.<br>• Conduct thorough investigations into suspected fraudulent activities and provide detailed reports.<br>• Create visual representations of data findings to effectively communicate insights to stakeholders.<br>• Utilize anti-fraud techniques to mitigate risks and safeguard organizational assets.<br>• Maintain accurate and organized records of investigations and analytical processes.<br>• Monitor and evaluate the effectiveness of fraud prevention strategies and recommend improvements.<br>• Stay updated on industry trends and emerging technologies related to fraud analytics.<br>• Provide training and support to team members on fraud detection tools and methodologies.
  • 2026-03-12T00:00:00Z