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CCG in Indianapolis, IN is seeking a detail-oriented Data Collection Admin Staff member to join our client engagement team on a full-time, permanent basis. In this role you will spearhead data collection workflows, verify data accuracy, maintain databases, and support administrative operations.
You will work closely with data analysts, project teams, and administrative supervisors to ensure immaculate data quality and operational efficiency.
CCG is seeking a detail-oriented, highly organized, and accomplished Data Collection Admin Staff member to join our client engagement team on a full-time, permanent basis in Indianapolis, IN. In this specialized data administration and operations role, you will spearhead managing data collection workflows, verifying data accuracy, maintaining comprehensive database records, and supporting administrative operations. You will work closely with data analysts, project teams, and administrative supervisors to ensure immaculate data quality and operational efficiency. Ideal candidates bring a robust academic degree, exceptional attention to detail, strong administrative capabilities, and immediate availability for deployment in Indianapolis.
As a Data Collection Admin Staff member at CCG in Indianapolis, IN, you will take full ownership of gathering, entering, verifying, and organizing large volumes of data for enterprise projects. Your day-to-day responsibilities encompass executing structured data collection procedures, performing rigorous quality control checks on incoming datasets, resolving data discrepancies, maintaining secure digital archives, and preparing administrative status reports. You will collaborate with cross-functional teams to streamline data entry workflows and support data governance standards. Working in a structured professional environment in Indianapolis, you will drive data integrity and administrative excellence.
When applying for data collection and administrative roles, ensure your resume explicitly highlights your data accuracy percentage, typing speed, and experience handling large datasets.