Remote CRI Operations Data Analyst

CIOX Health

PRN Remote Operations Data AnalystThis is a 100% Remote/Work from home position.Job purposeThe CRI operations data analyst will process data collected from a multitude of sources and in a variety of formats, manipulate data to meet project requirements, and load data into target databases. Duties and responsibilities Create accurate and meaningful reports for various departments and management utilizing Excel and other reporting tools as necessary. Use appropriate tools to obtain, validate and analyze relevant data, verify and analyze report data and prepare documentation for presentation to various users including internal and external users. Research issues to determine source of discrepancies and work with the CRI department leaders to fix the source data. Work with the CRI leadership team in adapting reports to client modifications. Answer and/or resolve any client concerns regarding data and reporting. Assist with preparation/presentation of results for various audiences. Assist with other job duties as assigned.Qualifications B.S. or equivalent work experience in actuarial science, mathematics, statistics or other analytical field of study At least 2 years of data analysis experience. Computer skills with proficiency in Microsoft Office particularly Excel. Ability to work independently, exercising independent judgment concerning the communication of complex data requirements. Must possess good time management, be highly organized and detail oriented with a demonstrated history of multi-tasking and being able to meet multiple client deadlines. Superior verbal and written communication skills. Working conditionsOver 90% of the time is spent indoors, with protection from weather conditions. Exposure to noise levels that may be distracting or uncomfortable is present in only unusual situations.Physical requirementsSitting, talking, hearing and near vision are required over 90% of the time, while walking is required about 10% of the time. Standing is required over 30% of the time. The sense of touch is required 90% of the time and reaching is required about 50% of the time. Bending, twisting, and climbing are required, as is far vision, but only for 10% or less of the time. Low levels of lifting (10 pounds or less) are required about 25% of the time, while medium levels (20 to 40 pounds) of lifting and carrying are required less than 5% of the time. High levels (52 pounds) of lifting are required under 2% of the time. Driving is a considerable portion of the position.EEO Employer M/F/Vet/Disabled

Qualifications B.S. or equivalent work experience in actuarial science, mathematics, statistics or other analytical field of study At least 2 years of data analysis experience. Computer skills with proficiency in Microsoft Office particularly Excel. Ability to work independently, exercising independent judgment concerning the communication of complex data requirements. Must possess good time management, be highly organized and detail oriented with a demonstrated history of multi-tasking and being able to meet multiple client deadlines. Superior verbal and written communication skills. Working conditionsOver 90% of the time is spent indoors, with protection from weather conditions. Exposure to noise levels that may be distracting or uncomfortable is present in only unusual situations.Physical requirementsSitting, talking, hearing and near vision are required over 90% of the time, while walking is required about 10% of the time. Standing is required over 30% of the time. The sense of touch is required 90% of the time and reaching is required about 50% of the time. Bending, twisting, and climbing are required, as is far vision, but only for 10% or less of the time. Low levels of lifting (10 pounds or less) are required about 25% of the time, while medium levels (20 to 40 pounds) of lifting and carrying are required less than 5% of the time. High levels (52 pounds) of lifting are required under 2% of the time. Driving is a considerable portion of the position.EEO Employer M/F/Vet/Disabled

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