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Pharmaace Analytics Analyst Interview Questions and Answers
Pharmaace Analytics Analyst Interview Experiences
1 interview found
Anonymous
Selected
I applied via Naukri.com and was interviewed in Dec 2022. There were 3 interview rounds.
30 mins basic aptitude questions
(3 Questions)
- Q1. What is the role of AHA and how to revive a cardiac arrest ?
- Q2. How will you analize a large data set using ETL?
- Ans.
I will use ETL (Extract, Transform, Load) process to analyze a large data set by extracting data from various sources, transforming it into a usable format, and loading it into a target database.
Extract data from multiple sources such as databases, files, APIs, etc.
Transform the data by cleaning, filtering, aggregating, and structuring it for analysis.
Load the transformed data into a target database for further analysi...
- Q3. What is your pofeciancy in Excel
- Ans.
I am highly proficient in Excel, with advanced skills in data analysis, formulas, and pivot tables.
Advanced knowledge of Excel functions and formulas
Experience with creating complex spreadsheets for data analysis
Proficient in using pivot tables for summarizing and analyzing data
Skilled in data visualization using charts and graphs
Familiarity with macros and VBA for automation tasks
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I applied via Campus Placement and was interviewed in Jul 2024. There were 3 interview rounds.
20 MINUTES 15 QUESTIONS OF DATA INTERPETRATION
(3 Questions)
- Q1. INTRODUCE YOURSELF
- Ans.
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
Experienced in conducting thorough research and interpreting complex data sets
Proficient in using analytical tools such as Excel, SQL, and Tableau
Skilled in identifying trends and patterns to provide valuable insights for decision-making
Excellent communication skills for presenting findings and recommendations to
- Q2. WHY THIS ROLE ?
- Ans.
I am passionate about analyzing data and providing valuable insights to drive strategic decision-making.
I have a strong background in data analysis and have successfully utilized various analytical tools and techniques in my previous roles.
I enjoy the challenge of interpreting complex data sets and identifying trends and patterns that can inform business strategies.
I am excited about the opportunity to work in a dynami...
- Q3. SIMPLE CASE STUDY
(2 Questions)
- Q1. CASE STUDY HARD ONE
- Q2. DIFFERENT SITUATIONS IN THE SAME PROLEM
- Ans.
Analyzing different situations within the same problem allows for a comprehensive understanding and effective solutions.
Identify the various factors contributing to the problem
Consider how each factor interacts with the others
Evaluate potential solutions based on the different scenarios
Adjust strategies as needed based on the changing circumstances
(2 Questions)
- Q1. Tell me about yourself
- Ans.
I am a dedicated and detail-oriented analyst with a strong background in data analysis and problem-solving.
I have a Bachelor's degree in Statistics and have completed multiple data analysis projects during my studies.
I am proficient in using statistical software such as R and Python for data analysis.
I have experience in conducting market research and creating reports to help businesses make informed decisions.
I am a q...
- Q2. Why u want to join?
- Ans.
I am passionate about analyzing data and providing valuable insights to drive business decisions.
Passionate about data analysis
Enjoy providing insights to drive decisions
Excited about contributing to business success
(2 Questions)
- Q1. Tell me in which subject u have confidence
- Ans.
I have confidence in the subject of data analysis and statistics.
I have a strong understanding of statistical methods and data analysis techniques.
I am proficient in using software tools like Excel, R, and Python for data analysis.
I have experience in conducting hypothesis testing, regression analysis, and data visualization.
I have successfully completed projects where I analyzed large datasets and provided actionable
- Q2. Random forest tell me
- Ans.
Random forest is an ensemble learning method used for classification and regression tasks.
Random forest is a collection of decision trees that are trained on random subsets of the data.
Each tree in the random forest independently predicts the target variable, and the final prediction is made by averaging the predictions of all trees.
Random forest is known for its high accuracy and ability to handle large datasets with ...
Skills evaluated in this interview
(2 Questions)
- Q1. Excel Based questions
- Q2. On Pivot tables, Vlookup
(1 Question)
- Q1. Basic question on SQL & excel.
An case study is provided
An detailed representation of the scenarios given needs to be assessed
(1 Question)
- Q1. What is your understanding of market research
- Ans.
Market research involves gathering and analyzing information about target markets or customers to make informed business decisions.
Market research helps businesses understand their target audience and their preferences.
It involves collecting data on market trends, competitors, and customer behavior.
The information gathered through market research is used to make strategic decisions such as product development, pricing,...
Selected
I applied via Naukri.com and was interviewed in Jun 2024. There were 3 interview rounds.
Nice and good problem solving interview process
Aptitude test has totalof 5 set of rounds..first round is algebra, second round is trigonometry third round is maths fourth round is infinity stones solving puzzles containing the process related probl ms
(2 Questions)
- Q1. About myself and family income occupation and other things
- Q2. About the scope of this current job and future of the applied job forthis company with salary negotiations
Interview Preparation Tips
I applied via Campus Placement
Database questions and email addressing.
Interview Preparation Tips
(2 Questions)
- Q1. What is data analytics
- Ans.
Data analytics is the process of analyzing raw data to extract useful insights and make informed decisions.
Data analytics involves cleaning, transforming, and modeling data to discover patterns and trends.
It helps businesses optimize operations, improve marketing strategies, and enhance decision-making.
Examples include using customer data to personalize marketing campaigns and analyzing sales data to forecast future tr
- Q2. What is blending
- Ans.
Blending is the process of mixing different ingredients together to create a uniform mixture.
Blending involves combining multiple substances to create a homogeneous mixture.
Blenders are commonly used in the kitchen to blend fruits and vegetables into smoothies.
Blending is also used in industries like cosmetics and pharmaceuticals to mix ingredients for products.
(2 Questions)
- Q1. Salary expectations
- Q2. Location question
Skills evaluated in this interview
vicky Udemy
Went well with that aptitude round aptitude
(2 Questions)
- Q1. Year of experience?
- Q2. Years of experience?
- Ans.
5 years of experience in financial analysis and data interpretation.
5 years of experience in financial analysis
Proficient in data interpretation
Strong analytical skills
Experience with financial modeling
Familiarity with industry trends
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