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E01 Data Analyst V - Remote

Start Date: ImmediateAt EXPANSIA we are focused on partnering with America’s top companies to acquire new talent with speed, accuracy, and a differentiated pricing model. We pride ourselves in acquiring top talent to ensure our clients' competitive advantage.
EXPANSIA is a service-disabled, veteran-owned small business (SDVOSB) delivering exceptional strategy and technology integration services to the U.S. Federal Government. We support several Department of Defense (DoD) and Federal Agencies across the CONUS.
OVERVIEWFull-time/Permanent Employee Location: Remote, United States As a Data Analyst V,you will create and enforce policies for effective data management, formulate techniques for quality data collection, devise and implement efficient and secure procedures for data handling and analysis, establish data sharing rules, and support others in the daily use of data systems. You will also monitor and analyze information and data systems, troubleshoot data-related problems, and ensure data security and integrity. 
The proposed salary range for this position is $95,000-$135,000 There are a host of factors that can influence final salary including, but not limited to, relevant prior work experience, specific skills and competencies, geographic location, education, and certifications. Our employees value the flexibility EXPANSIA allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our unique mix of benefits options is designed to support and protect employees and their families. Employment benefits include health and wellness programs, income protection, paid leave and retirement and savings.

RESPONSIBILITIES

  • Create, extract, and expand identification information from documents to facilitate proper filing by technical, programmatic, and process criteria; document change requests, data release requests, data storage systems, and document control practices; analyze and recommend changes in policy and application of existing data …

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