Saint Louis, MO
Gather disparate data from various data sources; analyze and normalize to ensure data integrity for analysis. Provide consistent, relevant and accurate data as well as guidance/knowledge of the data and definitions that are available for analysis.
Major Tasks, Responsibilities And Key Accountabilities:
Serves as a resource to assigned client in area of expertise.
Gathers and compiles raw data; conducts research for industry trends and benchmarks; and normalizes data to be incorporated into a centralized data format.
Analyzes, reports, makes comparisons to industry/company benchmarks, determines trends, and prepares cost analyses.
Defines data definitions and documents data limitations.
Prepares spreadsheets for data analysis; prepare reports with charts and graphs, mailing lists, maps and ad hoc requests. May make presentations.
Provides recommendations based on findings and analysis.
Provides input on policies and procedures.
Participates in department and interdepartmental projects.
Performs other duties as assigned.
Nature and Scope
Demonstrates skill in data analysis techniques by resolving missing/incomplete information, inconsistencies/anomalies in more complex research/data.
Nature of work requires increasing independence; receives guidance only on unusual complex problems or issues.
Work review typically involves periodic review of output by supervisor and/or direct " customers" of the process.
May provide general guidance/direction to or train junior level support personnel or professional personnel.
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about.
On rare occasions there may be a need to move or lift light articles.
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
No travel required.
Must be eighteen years of age
Must pass the Drug Test
Must pass the Background Check
Must pass pre-employment tests if applicable
Education And Experience
Typically requires BS/BA in related discipline. Generally 2-5 years of experience in related field; certification is required in some areas OR MS/MA and generally 2-4 years of experience in related field. Certification is required in some areas.
Expertise in working with spreadsheets, databases, strong understanding of financial concepts and data.
Experience in aggregating large volumes of financial data for analysis.
Experience with data analysis in large distribution businesses.
Certification on database/analysis tools.
Experience in acquiring data within large multi-system enterprise environments.