Mahindra Finance
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I applied via Walk-in and was interviewed before Dec 2020. There were 4 interview rounds.
I applied via Naukri.com and was interviewed in Dec 2021. There was 1 interview round.
I am a highly motivated and detail-oriented Business Analyst with a strong background in data analysis and problem-solving.
Experienced in conducting market research and competitor analysis
Proficient in data modeling and visualization tools such as Tableau and Power BI
Skilled in requirement gathering and documentation
Strong analytical skills with the ability to identify trends and patterns in data
Excellent communication...
I applied via Referral and was interviewed before Jan 2024. There was 1 interview round.
I applied via Recruitment Consulltant and was interviewed in Oct 2023. There were 2 interview rounds.
I applied via Referral and was interviewed in Feb 2024. There were 3 interview rounds.
Apptitude test conducted where there are 60 question in 60 min
Python, Verbal , Apptitude
Last one is interview round
I applied via Recruitment Consulltant and was interviewed in Oct 2023. There were 2 interview rounds.
I am a highly skilled and experienced Business Analyst with a strong background in data analysis and problem-solving.
Experienced Business Analyst with expertise in data analysis and problem-solving
Strong analytical skills and ability to interpret complex data
Proficient in using various tools and software for data analysis
Excellent communication and presentation skills
Proven track record of successfully identifying busi
I worked on a project to improve inventory management for a retail company.
Implemented a new inventory tracking system to streamline processes
Conducted data analysis to identify trends and optimize stock levels
Collaborated with cross-functional teams to gather requirements and ensure smooth implementation
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']})
posted on 6 Dec 2020
I applied via Campus Placement and was interviewed in Nov 2020. There were 6 interview rounds.
Business Analysts work with various stakeholders to analyze business processes and identify opportunities for improvement.
Business Analysts work with stakeholders from different departments to gather requirements and understand business needs.
They analyze data and conduct research to identify trends and patterns.
They document business processes and create models to visualize workflows.
They collaborate with IT teams to ...
I am an experienced analyst with a strong background in data analysis and problem-solving.
Experienced analyst with a track record of successfully analyzing complex data sets
Proficient in using various analytical tools and software
Strong problem-solving skills and ability to identify trends and patterns
Excellent communication and presentation skills
Ability to work well in a team and meet deadlines
Example: In my previous...
based on 1 interview
Interview experience
based on 2 reviews
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