
Cotiviti Data Analyst Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Cotiviti.
Data Analyst
Cotiviti Interview Process First round: Online test (SQL, Python, Aptitude, Verbal Ability) Second round: Technical interview - In person offline interview Third round: HR interview - In person offline interview
- Self intro
- Questions from resume and projects
- SQL Query
Financial Data Analyst
The interview had 3 rounds. The first was a machine test with two assignments: one for Excel and one for SQL. For Excel, I had to analyze sample data to answer specific questions. For SQL, I was given tables and needed to write queries to retrieve requested data. The second round was a technical interview with a manager who reviewed my Excel and SQL test answers, helping me with parts I missed and focusing on logic over syntax. The final round was a 45-minute video call with a US Project Manager and Solution Architect. They asked about my current role and how my data analysis impacts business users, focusing on practical implications. The interview process itself was great and practical, but the HR follow-up was unprofessional.
- Using the provided data in Excel, calculate the gross profit for a specific city and month.
Data Analyst
They interviewed a lot of people to find just a few. The first interview was with Jocelyn Jackson, and we talked about my background with tech like Hadoop, SQL, Linux, and big data tools. She asked about my years of experience, particular projects, and past jobs, and also about how I make customer-focused solutions and work with others remotely. We also chatted about Agile, what drives me, and how I handle my tasks. The job sounded like it would be in a pricing and strategy group, working with a small team. The questions felt pretty scripted. The next round was technical, based on what I heard. They asked SQL questions, like how to use GROUP BY, the difference between joins and blending, and how analytical projects usually flow. I mentioned my work with healthcare data and cross-team collaboration, and how good my communication is. The last interview was with Janatta Washington. We talked about projects involving lots of claims, what kind of data I like working with, and if I'm good with SQL, Python, and Tableau. She asked about using APIs, getting data, and how I deal with boring tasks and setbacks. I gave examples of how I solve problems, adapt, and make things work better. They took a while to respond, a few months, and I suspect they were just interviewing more candidates because the job kept popping up on job boards.
- Can you tell me if you have prior experience working on projects that were heavy on claims data?
- What kinds of data have you worked with in your previous roles, such as healthcare, marketing, or financial data?
- How do you handle or manage tasks that are monotonous or require repetition?
Cotiviti Data Analyst Interview Questions
Quoted word for word from Cotiviti interview reports.
“Tell me about what you know about Cotiviti.”
Read reports →“Can you do some basic analysis in Excel and make a report with the raw data and supporting Excel sheets?”
Read reports →“Where do you envision yourself in five years?”
Read reports →“What is your experience level with data architecture?”
Read reports →“What makes you want to switch jobs?”
Read report →“What's your motivation for wanting to work at Cotivit?”
Read report →“Could you tell me about your experience with SQL, Joins, and Excel?”
Read report →“Can you tell me if you have prior experience working on projects that were heavy on claims data?”
Read report →“What kinds of data have you worked with in your previous roles, such as healthcare, marketing, or financial data?”
Read report →Formats, difficulty and experience
Across all 8 Cotiviti interview reports.