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Basic aptitude,sql ques
Visualizing the dataset information
I applied via Indeed and was interviewed before Jun 2019. There were 4 interview rounds.
I have 3 years of experience working as a Data Analyst in the finance industry.
Analyzed financial data to identify trends and make recommendations
Created reports and dashboards using tools like Tableau and Excel
Collaborated with cross-functional teams to improve data quality and accuracy
I appeared for an interview in Sep 2024.
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
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)
I applied via LinkedIn and was interviewed in Mar 2023. There were 3 interview rounds.
I applied via LinkedIn and was interviewed before Aug 2021. There were 2 interview rounds.
I applied via Referral and was interviewed in Dec 2024. There was 1 interview round.
It was a basic Aptitude test, Needed to learn Probability, Permutation , Cobination and SQL.
Total Duration 1 Hour.
I applied via Company Website and was interviewed in Mar 2023. There were 3 interview rounds.
I applied via Campus Placement and was interviewed in Apr 2024. There were 4 interview rounds.
Apti was based on analytical skills
It was a fun GD which had the topic future app experiences.
Asked questions on guestimates and my analytical skills
I applied via Naukri.com and was interviewed in Nov 2021. There were 6 interview rounds.
Offline data is important for companies as it provides insights into customer behavior and preferences.
Offline data can help companies understand customer behavior and preferences
It can be used to identify trends and patterns in customer data
Offline data can also be used to improve customer experience and personalize marketing efforts
Examples of offline data include in-store purchases, customer service interactions, an...
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