SK Finance Limited Business Analyst Interview Questions and Answers for Experienced

Yes, I am able to work on Sundays if required for the job.

• I am willing to work on Sundays if it is a requirement for the position.

• I understand the importance of meeting deadlines and am flexible with my schedule.

• I have worked on weekends in the past and have no issues with working on Sundays.

• I can adjust my personal commitments to accommodate work on Sundays if needed.

I would like to join the company because of its strong reputation, opportunities for growth, and alignment with my career goals.

• The company has a strong reputation in the industry, which is appealing to me as it indicates stability and success.

• I believe that the company offers great opportunities for growth and development, which is important to me as I am looking to advance my career.

• The company's values and mission a...read more

I regularly keep myself updated about job openings through various sources.

• I actively search for job openings on job portals and company websites.

• I network with professionals in my field who may inform me about job opportunities.

• I subscribe to email alerts and newsletters from job search platforms.

• I follow social media pages and groups related to job postings.

• I attend career fairs and industry events where companies of

To deal with a frustrated client, it is important to remain calm, empathize with their concerns, actively listen, offer solutions, and follow up to ensure satisfaction.

• Stay calm and composed

• Empathize with the client's frustrations

• Listen actively and attentively to their concerns

• Offer solutions or alternatives to address their issues

• Follow up to ensure their satisfaction

• Maintain a professional and positive attitude thro

Data frame making in Python involves creating a structured table-like data structure using the pandas library.

• Use the pandas library to create a data frame

• Data frames are 2-dimensional labeled data structures with columns of potentially different types

• Data frames can be created from dictionaries, lists, numpy arrays, or other data frames

• Example: df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'c']})