Senior Data Analyst I

About The Business

About The Team

About The Role

Basic Functions

Qualifications

• 6+ years’ experience in data management area with analytical competencies demonstrated.
• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.
  

Technical Skills

• Subject Matter Expert with development languages such as SQL, UNIX, Linux, XML, HPCC, Python, etc.
• Subject Matter Expert with various data types and formats including, but not limited to: XML, flat files, delimited, etc.
• Subject Matter Expert 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 and 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.
• Conduct data review and verification and ensure 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 onboarding 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.