Data Modeler Sr


Brief Summary

Data Modeler Sr. Requirements: Develop interactive data visualizations for descriptive and prescriptive analytics. Perform exploratory data analysis to understand the data and to formulate hypotheses. Query, filter, and summarize data. Clean and normalize unstructured data. Identify and define data entities and create data diagrams. Partner with internal development team to automate data integration. Select, justify, and conduct appropriate analytical methods to solve a given business problem. Write reports for internal and business customers, summarizing business problems and conclusions. Technical Requirements: Core skills needed, in order of importance: Data visualization (Tableau, BusinessObjects) EDA/data mining SQL queries Structured data (RDBMS, pivot tables) Scripting (Python, VBA, R) Related keywords/buzzwords, in no particular order: big data/data lake/data mart/data warehouse business analysis/requirements gathering cloud analytics (ServiceNow, Google) data science/scientist data wrangling decision support ETL machine learning noSQL metrics/KPI SAS SSIS statistics/regression models/classification algorithms Minimum Requirements: Must have a minimum of 6 years experience. Job Duties: • Implement data sharing processes and procedures for enterprise data.