What are the responsibilities and job description for the Remote Data Analyst IV position at EDI Staffing?
5 Must Haves:
1. Data Analysis--profile and look for patterns in data
2. Really good SQL coding
3. Experience with Excel and PowerBI
4. Driven to help standardize high volumes of data
5. Experience with data quality tools ie. Informatica, Ataccama
6. Experience with cataloging tools ie. Purview or Collibra
7. Ideal if the candidate had retail experience
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BA IN COMPUTER SCIENCE w/ 5 plus years of relative work experience
1. Data Analysis--profile and look for patterns in data
2. Really good SQL coding
3. Experience with Excel and PowerBI
4. Driven to help standardize high volumes of data
5. Experience with data quality tools ie. Informatica, Ataccama
6. Experience with cataloging tools ie. Purview or Collibra
7. Ideal if the candidate had retail experience
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BA IN COMPUTER SCIENCE w/ 5 plus years of relative work experience
Data Analyst to perform tasks related to data profiling, data quality, data harmonization between multiple systems.
Collecting and analyzing data to identify patterns, trends and insights as it relates to data quality and harmonization. Ability to isolate and extract relevant information.
Data Management experience, SQL, Data Quality Tools such as Ataccama and Informatica. Python experience a plus. Microsoft Excel and Power BI
5 Years Data Analysis Experience Required
Retail Background a Plus
Collect, analyze, and validate data prior to it being stored for final use by the organization and/or its clients. Construct and apply standard statistical analysis and/or financial models to verify data acceptability/accuracy. Ensure data integrity by implementing quality assurance practices, gathering and entering missing data, and resolving any anomalies. Identify areas of improvement in data collection processes or systems and make recommendations to correct any deficiencies.
Collecting and analyzing data to identify patterns, trends and insights as it relates to data quality and harmonization. Ability to isolate and extract relevant information.
Data Management experience, SQL, Data Quality Tools such as Ataccama and Informatica. Python experience a plus. Microsoft Excel and Power BI
5 Years Data Analysis Experience Required
Retail Background a Plus
Collect, analyze, and validate data prior to it being stored for final use by the organization and/or its clients. Construct and apply standard statistical analysis and/or financial models to verify data acceptability/accuracy. Ensure data integrity by implementing quality assurance practices, gathering and entering missing data, and resolving any anomalies. Identify areas of improvement in data collection processes or systems and make recommendations to correct any deficiencies.
