Job Description
- Work with the analytics team to develop an activity-based costing model for providing trends, forecasts, and cost-reducing actions.
- Process flowcharts included requests for new processes or changes to existing processes and further creating and maintaining comprehensive project documentation.
- Create and maintain reports/dashboards/data/metrics used to measure and ensure success.
- Assist and produce standard reports, charts, graphs, and tables from a structured data source by querying data repositories using Python and SQL.
- Validate Data to check for the proper conversion of the data. Data cleansing to identify unnecessary data and clean, data profiling for accuracy and consistency.
- Masters or Bachelors in Information Systems, Engineering Management, Analytics, Computer Science, or related.
- Proficient in managing the entire project life cycle including Data Acquisition, Data Preparation, Data Manipulation, Statistical Modelling, Testing and Validation, Visualization, and Reporting.
- Solid understanding of statistical analysis, predictive analytics, machine learning, data mining, quantitative analytics, and optimization algorithms.
- Advanced working SQL knowledge and experience working with relational databases and Python.
Describe your perks and culture