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Job Responsibilities:

Develop machine learning models and deploy them as part of a pipeline. Build data sets that provide answers to key business decisions like evaluating risk and reducing costs. Use analytics data to create visualizations. Research, design, develop, and enhance analytics solutions using a range of reporting, data mining, and analytics techniques, methods, and tools. Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools. Contribute to approaches to data quality, metadata, and/or business rules as they apply to data mining and analytics projects. Create and maintain scripts to manipulate data and automate complex workflows. Provide guidance on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software. Independently, or as part of a team, perform comprehensive and thorough data collection, utilizing a variety of data sources to analyze trends, problems, or other related issues of major importance in support of audits and investigations.

Technical Skills:

Azure and AWS cloud platform analytics and ML service offerings. Data visualization software experience using power bi, Tableu or equivalent. 3+ years in a Data Analyst Role 2+ years Data Mining, Modeling and Reporting Strong attention to detail Ability to collaborate effectively and work as part of a team Data query; import/read/export files Table joins, lookups, conditional processing, loops, arrays, macros Automation scripting for routine tasks

Languages:

SAS / Enterprise Guide SQL/Proc SQL Python R Korn Shell/Perl HTML/CSS/JavaScript

Statistical knowledge:

Regression modeling Confidence interval Correlation Hypothesis testing Sample size calculation

Education: Bachelor's Degree in Mathematics, Computer Engineering or Computer Science or equivalent experience in related areas.