Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 2


sing DWH for analyzing the historical data
Visualization and specific formatting of reports.
Business Analysis preparation. Pre and post-data analysis preparation Providing technical support in data storage structures, data mining, and data cleansing. Demonstrated experience in handling large data sets and relational databases.
Breakeven analysis using Z-score
Building time series and ML models.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize billability calculation, revenue generation, employee attrition rate, and other business outcomes.
Assess the effectiveness and accuracy of new data sources