Conduent Data Analyst Interview Questions and Answers

Q1. Walk through your project?
Ans. 
Developed a predictive model to forecast sales based on historical data
• Collected and cleaned historical sales data

• Performed exploratory data analysis to identify trends and patterns

• Built and trained a machine learning model using regression techniques

• Evaluated model performance using metrics like RMSE and MAE
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Q2. Behavioral questions?
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Q1. Questions based on Advanced Excel like Vlookup, Index match, sumifs, pivot tables
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Q2. Behavioral questions
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Q1. Salary negotiation
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Power BI report for shoe case analysis.

Q1. Basic introduction about previous projects and skillsets.
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Q2. Related to Power BI, SQL
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SAS basic Programming questions

Q1. What questions can arise based on the projects mentioned in your resume?
Ans. 
Questions can arise about data sources, methodologies, insights gained, and impact of projects mentioned in resume.
• Data sources used in the projects

• Methodologies employed for data analysis

• Insights gained from the analysis

• Impact of the projects on decision-making or outcomes
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Q1. Tell me about your self
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Q2. If experienced, then Tell me about your previous job role and responsibilities of previous job role.
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Q3. Tell me about your resume.
Ans. 
My resume showcases my experience in data analysis, including proficiency in SQL, Python, and data visualization tools.
• Proficient in SQL for data querying and manipulation

• Skilled in Python for data analysis and automation

• Experience with data visualization tools like Tableau and Power BI

• Strong analytical and problem-solving skills

• Previous projects include analyzing sales data to identify trends and patterns
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Q4. Tell me about your memorable Moment of life.
Ans. 
My memorable moment was when I graduated from college.
• Graduating from college after years of hard work

• Celebrating with family and friends

• Feeling a sense of accomplishment and pride
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Medical knowledge based questions

Q1. General medical questions
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Q2. Antidiabetics , gerd, antihypertension,gout,bones,fracture
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Q1. Introducation salary expectation skills personality
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Be well prepared with Excel especially

Q1. How do you handle critical work situation?
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Q2. Team work, collaboration, managerial involvement
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Q1. How do you handle co-worker's task when given to you?
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Q2. Inform the manager and have a clear communication with the co worker on the progress and perquisites.
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Q1. Self introduction
Ans. Thank you for shortlisting me to the personal interview round. I am bhavina jeeva. I am from namakkal. I completed my B.E computer science in April 2016. 2 year's i worked as a data analyst in a tnq technologies and private ltd. My hobbies are helping people's and reading motivational books. And my strength is my honest character and my boldness. However, if you like any for the details i glad to share it.
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Q2. What is meaning of data analyst
Ans. 
A data analyst is a professional who collects, analyzes, and interprets data to help organizations make informed decisions.
• Data analysts collect and organize large sets of data from various sources.

• They use statistical techniques and tools to analyze the data and identify patterns, trends, and insights.

• Data analysts interpret the findings and present them in a clear and concise manner to stakeholders.

• They help organiza...read more
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Q3. How long should you stay in a job
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Q4. Why do you want to work for our company
Ans. Good Team work, good salary, good improvement of this company.
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Q5. What are you greatest strength and weakness
Ans. Be honest, I am great team player and i am also a self motivated my weakness is loneliness
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Q1. Tell me about yourself ?
Ans. 
I am a data analyst with experience in analyzing and interpreting complex data sets to drive business insights.
• Experienced in using statistical analysis tools such as Python, R, and SQL

• Proficient in data visualization techniques using tools like Tableau and Power BI

• Skilled in data cleaning, data mining, and data manipulation

• Strong problem-solving and critical thinking skills

• Effective communication and presentation skil...read more
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Q2. Education qualification?
Ans. 
Bachelor's degree in a relevant field is typically required for a Data Analyst role.
• A Bachelor's degree in fields such as mathematics, statistics, computer science, or economics is commonly preferred.

• Some employers may also consider candidates with equivalent work experience or certifications.

• Advanced degrees like Master's or Ph.D. can provide a competitive edge.

• Continuing education and staying updated with the latest
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