BASIC FUNCTIONS:

• This position performs data management and analysis tasks within a specific functional area or data type.

• Requires heavy communication with data sources/contacts.

QUALIFICATIONS:

• 3+ years’ experience in data management area with an analytical competencies demonstrated.

• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.

TECHNICAL SKILLS:

• Proficiency with development languages such as SQL, UNIX, Linux, XML, HPCC, Python, etc.

• Proficiency with various data types and formats including, but not limited to: XML, flat files, delimited, etc.

• Proficiency with data analysis tools and processes.

• Excellent proofreading skills to see how data and facts can be linked together to create more meaningful conclusions.

• Strong research skills.

• Dealing with multiple data formats, including Excel spreadsheets, delimited files (such as CSV), and files with fixed-width layouts.

• Ability and desire to learn new processes, tools, and technologies.

• Problem solving skills.

• Attention to detail.

ACCOUNTABILITIES:

• Business support through data analysis and research.

• Modify pre-designed queries to assess data for research purposes.

• Independently run data statistics, including coverage stats, field populations, etc.

• Run data profiles.

• Support business or other data engineering teams with data subject matter expertise.

• Complete new data evaluations to diverse audiences.

• Create data documentation including mappings and quality thresholds.

• Investigate, track, and report data issues.

• Conducts data review and verification and ensures corrections/clarifications are made in a timely manner.

• Strong level of intimacy within a specific data content area.

• Provide technical problem solving to less technical teams (customer service, consumer advocacy, etc.).

• Undertake and complete new data on-boarding and/or production data management functions as assigned/required.

• Utilize various data workflow management and analysis tools.

• Resolve and/or guide data sources in resolving basic data issues within specific functional area or data type.

• Produce basic ad hoc data counts, stats, examples as required.

• All other duties as assigned.





 


 











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