Georgia IT Inc
Senior Data Analysts - Phoenix AZ (Hybrid)
Georgia IT Inc, Phoenix, Arizona, United States, 85003
Position - Senior Data Analysts
Location - Phoenix AZ (Hybrid)
Start Date - Immediately
Rate - DOE
12 months plus contract
Job Description Minimum Qualifications
Bachelor's Degree in Engineering, MIS, or Data & Analytics or equivalent experience 5+ years' experience with data analysis specifically as it relates to enterprise data management including data warehousing and source to target mapping Strong experience with RDBMS and query language such as T-SQL, PL/SQL, Spark SQL Strong experience using analytics tools such as SPSS, SAS, Tableau, PowerBI Strong experience using data profiling/wrangling tools (Example: IDQ (preferred), Alteryx, Paxata, Trifacta, Tamlr, etc.) Strong experience using common file formats such as CSV, TEXT, JSON, XML, XSD, etc. Excellent problem solving and analytic skills Excellent communication skills, both verbal and written, and ability to work collaboratively within a team, business stakeholders and executives Preferred Qualifications
Experience in Agile, SAFe, and/or Scrum Experience working in a data governance function Experience integrating with data quality, data catalog and data lineage tools is a plus Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer Banking or financial services industry experience or other highly regulated industry experience Experience integrating and using data science or statistical solutions
Job Description Minimum Qualifications
Bachelor's Degree in Engineering, MIS, or Data & Analytics or equivalent experience 5+ years' experience with data analysis specifically as it relates to enterprise data management including data warehousing and source to target mapping Strong experience with RDBMS and query language such as T-SQL, PL/SQL, Spark SQL Strong experience using analytics tools such as SPSS, SAS, Tableau, PowerBI Strong experience using data profiling/wrangling tools (Example: IDQ (preferred), Alteryx, Paxata, Trifacta, Tamlr, etc.) Strong experience using common file formats such as CSV, TEXT, JSON, XML, XSD, etc. Excellent problem solving and analytic skills Excellent communication skills, both verbal and written, and ability to work collaboratively within a team, business stakeholders and executives Preferred Qualifications
Experience in Agile, SAFe, and/or Scrum Experience working in a data governance function Experience integrating with data quality, data catalog and data lineage tools is a plus Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer Banking or financial services industry experience or other highly regulated industry experience Experience integrating and using data science or statistical solutions