Digital Data Support Engineer-GX

Overview

Remote
Contract - W2
Contract - Long term

Skills

SQL
ETL
Power BI

Job Details

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.
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