Senior Data Analyst I

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 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.