What is the difference between primary and secondary research, and when would you use each in a KPO setting?

Define both clearly and give examples: primary for custom surveys or interviews, secondary for existing reports, databases, or public data. Mention cost, time, and accuracy trade-offs.

Explain the steps you would follow to clean a messy dataset before analysis.

Cover handling missing values, removing duplicates, standardising formats, outlier detection, and documenting changes. Emphasise validation and reproducibility.

How would you explain a p-value to a non-technical client?

Avoid jargon. Say it measures how likely the observed result is if there were no real effect. A low p-value suggests the result is unlikely due to chance alone.

What are the key differences between a left join and an inner join in SQL, and when would you use each?

Explain that left join keeps all rows from the left table, inner join keeps only matching rows. Give a practical example like combining customer and order tables.

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BPO, KPO and ITES

LatentView Analytics Research Analyst Interview: Rounds, Questions and Preparation

For Research Analyst roles at companies like LatentView Analytics

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https://www.cynchrony.in/library/latentview-analytics-research-analyst

What the job involves

A Research Analyst in BPO/KPO/ITES supports client decision-making by collecting, cleaning, and analysing data to produce insights, reports, and recommendations. Day to day work includes querying databases, building dashboards, validating data quality, and presenting findings to internal teams or clients. Freshers typically start with structured data tasks and gradually take on independent research projects.

Role and Technical Knowledge

1
What is the difference between primary and secondary research, and when would you use each in a KPO setting?
Define both clearly and give examples: primary for custom surveys or interviews, secondary for existing reports, databases, or public data. Mention cost, time, and accuracy trade-offs.
2
Explain the steps you would follow to clean a messy dataset before analysis.
Cover handling missing values, removing duplicates, standardising formats, outlier detection, and documenting changes. Emphasise validation and reproducibility.
3
How would you explain a p-value to a non-technical client?
Avoid jargon. Say it measures how likely the observed result is if there were no real effect. A low p-value suggests the result is unlikely due to chance alone.
4
What are the key differences between a left join and an inner join in SQL, and when would you use each?
Explain that left join keeps all rows from the left table, inner join keeps only matching rows. Give a practical example like combining customer and order tables.

Practical Scenarios

5
A client reports that their monthly sales dashboard shows a sudden 30% drop, but the raw data looks fine. How would you investigate?
Check data refresh schedules, filters, date ranges, and aggregation logic. Verify with source systems and communicate findings clearly before proposing a fix.
6
You are asked to analyse customer churn for a telecom client. What data would you request and what initial analysis would you do?
Ask for customer demographics, usage patterns, billing history, and complaint logs. Start with descriptive stats and cohort analysis to identify high-risk segments.
7
Your manager gives you a deadline that seems impossible without overtime. What do you do?
Show prioritisation: clarify must-haves versus nice-to-haves, propose a phased delivery, and communicate early. Avoid simply saying yes or no.
8
How would you validate that a report you built is accurate before sending it to a client?
Mention cross-checking totals, spot-checking records, peer review, and comparing against known benchmarks. Document assumptions and version control.

Behavioural and HR

9
Why do you want to work as a Research Analyst in the BPO/KPO/ITES sector?
Link your interest in data-driven problem solving to the sector's focus on client insights and process efficiency. Mention exposure to multiple industries.
10
Tell me about a time you had to learn a new tool or skill quickly for a project.
Use STAR format. Highlight the gap, your learning approach, and the positive outcome. Show curiosity and self-drive.
11
Describe a situation where you had to work with a team member who was not contributing. How did you handle it?
Focus on communication and resolution, not blame. Mention a private conversation, understanding their constraints, and escalating only if needed.
12
Where do you see yourself in three years in this role?
Show realistic progression: deeper domain expertise, leading small projects, or mentoring juniors. Align with the company's growth path without overpromising.

Company and Sector Awareness

13
What do you understand about the KPO industry and how it differs from BPO?
Explain that BPO handles routine processes while KPO involves higher-value knowledge work like analytics, research, and consulting. Mention examples like data analysis or market research.
14
How do companies like LatentView Analytics create value for their clients?
Talk about using data and analytics to solve business problems, improve decisions, and drive revenue or efficiency. Avoid claiming specific internal methods.
15
What trends in data analytics do you think will affect the BPO/KPO/ITES sector in the next few years?
Mention automation, AI-assisted analytics, cloud platforms, and real-time dashboards. Show awareness of how these change research roles.

Ready to try it for real?

Take a timed test or talk through a mock interview for this role, then see your scores.

This is practice material for Research Analyst roles, written with AI. It is not a list of questions LatentView Analytics or any other company has asked.