Innoviti Technologies Private Limited Data Analyst Interview Questions and Answers

Round duration - 90 Minutes
Round difficulty - Easy

Problem solving using SQL questions

Round duration - 90 Minutes
Round difficulty - Easy

A marketing campaign is run, how will you decide metrics to be tracked. Techincaly a KPI round

Q1. In a marketing campaign, how would you decide which metrics to track?
Ans. 
Metrics selection based on campaign objectives, target audience, and key performance indicators.
• Identify campaign objectives and goals

• Consider target audience and their behavior

• Select key performance indicators (KPIs) relevant to the campaign

• Track metrics such as conversion rate, click-through rate, ROI, customer acquisition cost

• Analyze data to measure success and make data-driven decisions
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Round duration - 30 Minutes
Round difficulty - Easy

Social empathatic fit round

Q1. Basic SQL questions are asked in this round Some theory questions are asked as well
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Q1. Tell me brief about your self
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Experienced in analyzing large datasets using SQL, Python, and R

• Skilled in creating insightful reports and dashboards using Tableau and Power BI

• Strong communication skills to present findings to stakeholders

• Certified in data analysis and machine learning techniques
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Q2. What are youre strenth and weekness
Ans. 
My strength lies in my analytical skills and attention to detail, while my weakness is sometimes getting too caught up in the details.
• Strength: Strong analytical skills

• Strength: Attention to detail

• Weakness: Getting caught up in details (provide example)
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Q1. What are your salary expectations?
Ans. 
I am looking for a competitive salary that reflects my skills and experience in data analysis, ideally in the range of $70,000 to $90,000.
• Research industry standards: For example, Glassdoor and Payscale indicate that data analysts in my region earn between $70,000 and $90,000.

• Consider my experience: With over 3 years in data analysis and proficiency in tools like SQL and Python, I believe I bring significant value.

• Fact...read more
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Q2. Why do you want to work at TU?
Ans. 
I admire TU's commitment to innovation and data-driven decision-making, which aligns perfectly with my passion for analytics.
• TU's focus on cutting-edge technology in data analysis inspires me to contribute to impactful projects.

• The collaborative environment at TU encourages knowledge sharing, which I value for personal and professional growth.

• I am impressed by TU's initiatives in community engagement, and I want to lev...read more
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Q1. Questions from SQL,UNIX,PYTHON,AWS
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Q1. Current Project
Ans. 
Currently working on analyzing customer data for a retail company.
• Analyzing customer purchase history

• Identifying trends and patterns in customer behavior

• Segmenting customers based on demographics and purchase preferences
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Q1. Expected Salary,Process, Offer letter
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3 SQL questions were given

Q1. It was based upon my work experience and technical questions from SQL
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Q1. Salary discussion
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Q1. What is the order of execution in sql
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Q1. How to do conditional formatting in excel
Ans. 
Conditional formatting in Excel allows users to format cells based on specified conditions.
• Select the range of cells you want to apply conditional formatting to

• Go to the 'Home' tab and click on 'Conditional Formatting'

• Choose the desired formatting option, such as color scales, data bars, or icon sets

• Set the conditions for when the formatting should be applied, such as greater than, less than, or equal to a certain valu...read more
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Technical SQL Coding Round of 1 hour

Began with 2 easy generic question -
1. No. of record on different types of joins.
2. Employees who have higher salaries than their managers,

Then moved to medium questions -
1. Implement Rolling sum with & without window functions.
2. Other questions were on CTEs, Joins & other complex queries.

Bar Raiser Round of 1 hour involving -

1. Case study: How can we leverage product knowledge & analytics to increase Amazon Prime Revenue from 10% to 12%?

2. Metrics awareness: Common metrics discussion like DAU, PDAU, MAU, Retention, Churn, etc.

3. Resume based work exp discussion

Q1. Quick culture fitment round with HR discussing about past work experience, my expectations & why I want to join Jupiter.
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