MamaEarth Business Analyst Interview Questions and Answers

Q1. Tell me about yourself?
Ans. 
I am a data analyst with a background in statistics and programming, passionate about turning data into actionable insights.
• Background in statistics and programming

• Experience in data analysis and visualization

• Strong problem-solving skills

• Ability to communicate complex findings to non-technical stakeholders
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Q2. Tell me what work you do at your current company?
Ans. 
I analyze data to identify trends, patterns, and insights to support decision-making.
• Analyze large datasets to extract valuable insights

• Create visualizations to communicate findings

• Collaborate with stakeholders to understand business needs

• Use statistical tools and techniques to interpret data

• Present findings and recommendations to management
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Q3. What are your views on beauty?
Ans. 
Beauty is subjective and can be found in various forms, such as nature, art, and human relationships.
• Beauty is subjective and can vary from person to person.

• It can be found in nature, like a breathtaking sunset or a blooming flower.

• Artistic creations, such as paintings, sculptures, and music, can also be considered beautiful.

• Beauty can also be seen in human relationships, acts of kindness, and expressions of love.
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Q1. Tell Me About Yourself
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Q2. Some Questions Based on PowerBi, Graphs used etc.
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Q3. Dashboard Related Questions
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Aptitude test is kind of test to check mental ability of candidate

Group discussion will help to check candidate communication and physical ability

Q1. About company and other basic knowledge
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Q1. What will u bring to table.
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Q1. Why this company when job stability missing.
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Q1. Introduction about myself
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Q2. Why you want to leave
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Q3. Roles and responsibilities
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Shraddha nabajja is from acme services aligned the interview schedule for Kama Ayurveda

Q1. Why should i hire you
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Q2. Kpi’s numbers from DSR
Ans. 
KPIs from DSR are key performance indicators derived from the daily sales report.
• KPIs help measure the success and performance of a store.

• They provide insights into sales, customer satisfaction, and operational efficiency.

• Examples of KPIs from DSR include sales revenue, average transaction value, conversion rate, and customer retention rate.
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