Job Seekers, Please send resumes to resumes@hireitpeople.com
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.
