American Broadcasting Company Senior Analyst Interview Questions and Answers for Experienced

Q1. Tell me your analytical skills?
Add your answer
Q2. Prepare SQL, PYTHON, POWER BI and whatever mentioned in resume.
Add your answer

Q1. What is data analytics
Ans. 
Data analytics is the process of analyzing raw data to extract useful insights and make informed decisions.
• Data analytics involves cleaning, transforming, and modeling data to discover patterns and trends.

• It helps businesses optimize operations, improve marketing strategies, and enhance decision-making.

• Examples include using customer data to personalize marketing campaigns and analyzing sales data to forecast future tr
Answered by AI
Add your answer
Q2. What is blending
Ans. 
Blending is the process of mixing different ingredients together to create a uniform mixture.
• Blending involves combining multiple substances to create a homogeneous mixture.

• Blenders are commonly used in the kitchen to blend fruits and vegetables into smoothies.

• Blending is also used in industries like cosmetics and pharmaceuticals to mix ingredients for products.
Answered by AI
Add your answer

Q1. Salary expectations
Add your answer
Q2. Location question
Add your answer

Q1. Tell me about urself
Ans. 
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
• I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.

• I am proficient in using statistical software such as R and Python for data analysis.

• I have experience in conducting market research and creating reports to help businesses make informed decisions.

• I am a s...read more
Answered by AI
Add your answer

Aptitude test based on logical reasons

Python & SQl easy to moderate level

Q1. What challenges have you encountered, and how did you overcome them?
Add your answer
Q2. How did you face challenges when working with data, and what strategies did you implement to overcome them?
Ans. 
I tackled data challenges by employing analytical techniques, collaboration, and continuous learning to enhance data quality and insights.
• Identified data inconsistencies by implementing validation checks, which improved accuracy in reporting.

• Collaborated with cross-functional teams to gather diverse perspectives, leading to more comprehensive data analysis.

• Utilized data visualization tools to present complex data in an...read more
Answered by AI
Add your answer

Q1. Describe youself, strength, weakness
Add your answer