Overview
On Site
Full Time
Skills
Technical Analysis
Unstructured Data
Emerging Technologies
Business Model
Quantitative Analysis
Modeling
Decision-making
Management
Information Systems
Computer Science
Mathematics
Economics
Finance
Problem Solving
Conflict Resolution
Operations Research
Marketing Research
Predictive Analytics
Databricks
Workflow
Microsoft SSAS
SQL
DAX
Python
Microsoft Power BI
Oracle Db
Teradata
Logistics
Pricing
Marketing Analytics
Extract
Transform
Load
Microsoft Azure
SAS
Analytical Skill
Analytics
Communication
Leadership
Telecommuting
Job Details
Gains insight into key business problems and deliverables by applying highly technical analysis techniques analysis techniques to examine structured and unstructured data from multiple disparate Sources. Provides insight from initial concept to fully tested production and communicates results to a broad range of audiences. Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Typically uses data, statistical and quantitative analysis, basic modeling, and fact-based management to drive decision making. Mentors fewer senior staff. Works in cross functional projects and programs. Routinely presents to management. Performs other duties as assigned.
Requirements
Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance plus 7 years of experience in the job offered or 7 years of experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development and/or predictive analytics. The employer will alternatively accept a Master's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance, plus 5 years of experience in the job offered or 5 years of experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development and/or predictive analytics, in lieu of a Bachelor's degree plus 7 years of experience. The position requires experience with: Azure Databricks: building ETLs, workflows & pipelines; Azure data Studio and Azure Analysis Services; Advanced SQL, SAS, DAX & Python; Power BI and Power automate; Oracle DB and Teradata; Logistics and Pricing Analytics; Experience or coursework in Marketing Analytics; ETL tools like Azure Synapse and SAS Studio. Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal, written, and oral communication skills. Proven leadership skills. This position is eligible for telecommuting and may be located anywhere within the United States excluding Alaska, Hawaii and U.S. territories.
Requirements
Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance plus 7 years of experience in the job offered or 7 years of experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development and/or predictive analytics. The employer will alternatively accept a Master's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance, plus 5 years of experience in the job offered or 5 years of experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development and/or predictive analytics, in lieu of a Bachelor's degree plus 7 years of experience. The position requires experience with: Azure Databricks: building ETLs, workflows & pipelines; Azure data Studio and Azure Analysis Services; Advanced SQL, SAS, DAX & Python; Power BI and Power automate; Oracle DB and Teradata; Logistics and Pricing Analytics; Experience or coursework in Marketing Analytics; ETL tools like Azure Synapse and SAS Studio. Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal, written, and oral communication skills. Proven leadership skills. This position is eligible for telecommuting and may be located anywhere within the United States excluding Alaska, Hawaii and U.S. territories.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.