Param Consulting Services, Inc.

Compensation

Full Description

NO C2C, ONLY W2 Qualifications - Master's Degree in a related field, or the equivalent combination of training, education and experience. - Extensive experience in the application of statistical methods, mathematical techniques, forecasting, cost- benefit analysis, related analytical tools and programming languages. - Expert skill interpreting, extrapolating and interpolating data for statistical research and modeling - Extensive experience in problem resolution including determining root cause, scope and scale of issues. - Expert skill analyzing statistics and reports to determine business performance and trends. - Extensive experience that demonstrates the ability to research, compile, and document data, business processes, and workflow. - Expert skill identifying and analyzing business requirements and recommending solutions. - Effective skill presenting findings, conclusions, alternatives, and information clearly and concisely. - Expert knowledge of standard ETL tools and techniques. - Expert knowledge of the process in sourcing raw data and cleansing techniques. - Expert knowledge of emerging trends and influences best practices within discipline. - Advanced knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage. - Expert in understanding and communicating data presented in models, charts, and tables and transforming it into a format that is useful to the business and aids effective decision making. - Expert skill in the use of measurement and statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events. - Expert in understanding and analyzing models that predict the probability of an outcome - Expert knowledge of and the ability to perform basic statistical analysis such as measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression techniques. - Expert skill in collecting and manipulating data used in effective decision making. - Expert knowledge of data models, design tools, business/technical requirements, statistical programming languages, data queries. - Demonstrates a key understanding of multiple database concepts and data flows. - Expert knowledge of various data structures and the ability to extract data sources (such as PySpark, PowerBI). - Advanced knowledge of mapping techniques and data pipelines. - Expert SQL skills. - Advanced verbal and written communication skills. - Advanced database and presentation software skills. - Advanced word processing and spreadsheet software skills.