Purpose

This assessment is designed for experienced candidates with 5+ years in the IT, Software & ITeS industry, specifically for the AI - Business Intelligence Analyst role. Its main goal is to evaluate advanced analytical and technical skills in business intelligence and data analysis.

Overview

The assessment is structured to evaluate the proficiency of experienced candidates in advanced business intelligence and analytics roles. It is tailored for the AI - Business Intelligence Analyst position, focusing on core skills such as data analysis, machine learning, and statistical methods. The test covers a range of topics including funnel analysis, Monte Carlo simulations, handling imbalanced datasets, and collaborative filtering. It also assesses candidates' understanding of KPIs, autocorrelation, clustering, decision trees, and regularization techniques. The assessment aims to identify candidates with strong analytical abilities, technical expertise, and the capability to apply these skills in real-world business scenarios.

• Industry: IT, Software & ITeS
• Level: Experienced
• Tag: AI - Business Intelligence Analyst
• Total Questions: 25

Skills

• Funnel analysis
• Monte Carlo simulation
• Handling imbalanced datasets
• Collaborative filtering
• KPI development
• Autocorrelation understanding
• Clustering evaluation
• Decision tree application
• Regularization techniques
• Statistical measures
• Feature engineering
• NoSQL database usage
• Anomaly detection
• Sentiment analysis
• Lift charts interpretation
• Data lineage
• Association rule mining
• Precision measurement
• RNN application
• Hierarchical data visualization
• NLP techniques
• Optimization
• Statistical testing
• Dimensionality reduction

Ideal Roles

• AI Business Intelligence Analyst
• Data Scientist
• Business Analyst
• Data Engineer
• Machine Learning Engineer