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Data Analyst with AWS

In United States

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Data Analyst with AWS   

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JOB TITLE:

Data Analyst with AWS

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

Chicago, IL United States

JOB DESCRIPTION:

Job role: Data Analyst with AWS Location: Remote Duration: Long Term   Data Analyst Job Duties Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.   Responsibilities Interpret data, analyse results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Experience developing, deploying and support cloud-based solutions (AWS, Azure, etc.) Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyse, and interpret trends or patterns in complex data sets Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities   Requirements and skills Proven working experience as a Data Analyst or Business Data Analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Position Details

POSTED:

Aug 01, 2022

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S1648843212255381

LOCATION:

United States

CITY:

Chicago, IL

Job Origin:

OORWIN_ORGANIC_FEED

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Aug 19, 2017 9am-6pm
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Job role: Data Analyst with AWS Location: Remote Duration: Long Term   Data Analyst Job Duties Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.   Responsibilities Interpret data, analyse results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Experience developing, deploying and support cloud-based solutions (AWS, Azure, etc.) Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyse, and interpret trends or patterns in complex data sets Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities   Requirements and skills Proven working experience as a Data Analyst or Business Data Analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy Adept at queries, report writing and presenting findings BS in Mathematics, Economics, Computer Science, Information Management or Statistics


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