Asahi India Glass Business Analyst Interview Questions and Answers

Developed a predictive model to forecast customer churn for a telecommunications company.

• Used machine learning algorithms such as logistic regression and random forest.

• Performed data preprocessing, feature engineering, and model evaluation.

• Collaborated with business stakeholders to understand requirements and present findings.

• Achieved 85% accuracy in predicting customer churn.

• Implemented the model into the company's CR

Data Analysts are responsible for collecting, processing, and analyzing data to help organizations make informed decisions.

• Collect and organize data from various sources

• Clean and preprocess data to ensure accuracy

• Analyze data using statistical techniques and tools

• Create visualizations and reports to present findings

• Provide insights and recommendations based on data analysis

• Collaborate with stakeholders to understand bu

I am looking for a competitive salary based on my experience, skills, and the market rate for Data Analyst roles.

• Research the average salary range for Data Analyst positions in the specific location and industry

• Consider your level of experience, education, and skills when determining your salary expectations

• Be prepared to negotiate based on the benefits package offered by the employer

• Provide a salary range rather than ...read more

I have a keen interest in problem-solving, data analysis, and helping organizations optimize their strategies for better outcomes.

• I enjoy analyzing complex data sets to identify trends and insights, such as using data analytics to improve business performance.

• I am passionate about strategic planning, having worked on projects that involved developing long-term business strategies for clients.

• I love collaborating with d...read more

I will leverage my expertise, analytical skills, and collaborative approach to drive impactful solutions for clients.

• Utilize data-driven insights to identify inefficiencies and recommend process improvements, as seen in a previous project where I reduced costs by 20%.

• Foster strong relationships with clients to understand their unique challenges, ensuring tailored solutions that align with their strategic goals.

• Implemen...read more

Cause and effect analysis is a method used to identify and analyze the root causes of a problem or issue.

• Identify the problem or issue that needs to be analyzed

• Determine all possible causes that could have led to the problem

• Analyze each cause to understand its impact on the problem

• Identify the primary cause or causes that are most significant

• Develop solutions or actions to address the root causes identified

Training process for the seven quality control tools involves understanding each tool, practicing their application, and receiving feedback.

• Understand the purpose and application of each tool (e.g. Pareto chart, cause-and-effect diagram, control chart)

• Practice using the tools in real-life scenarios to gain proficiency

• Receive feedback from experienced professionals to improve skills

• Continuously refine and enhance knowle...read more

Process implementation from JUSE involves utilizing the principles of Total Quality Management to improve efficiency and quality.

• Utilize tools such as PDCA cycle, 5S, and Kaizen to improve processes

• Focus on continuous improvement and employee involvement

• Implement quality control measures to ensure consistency and customer satisfaction

Education details of family members are varied and diverse.

• Father - MBA from XYZ University

• Mother - PhD in Economics from ABC University

• Sister - Bachelor's in Computer Science from DEF College

• Brother - High School Diploma