Stable job with a good hybrid model, but limited client exposure
Pros: Stable job and company, good hybrid model
Cons: Onshore heavy work - You will get less exposure with clients in tech role
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EVERSANA® is the leading provider of global commercialization services to the life science industry. The company’s integrated solutions are rooted in the patient experience and span all stages of the product lifecycle to deliver long-term, sustainable value for patients, providers, channel partners and payers. The company serves more than 650 organizations, including innovative start-ups and established pharmaceutical companies to advance life sciences services for a healthier world. To learn more about EVERSANA, visit eversana.com.
Office locations
1
Open roles tracked
1
Posted last 7 days
1
Posted last 30 days
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What employees say
+ Stable job and company, good hybrid model
− Onshore heavy work - You will get less exposure with clients in tech role
Recent Glassdoor reviews · 725 total
Pros: Stable job and company, good hybrid model
Cons: Onshore heavy work - You will get less exposure with clients in tech role
View on GlassdoorPros: Flexibility, good work culture,job security
Cons: lesser appreaciation for your efforts
View on GlassdoorPros: Good work life balance and
Cons: salary as per not market standard
View on GlassdoorPros: Work environment was really good
Cons: Nothing to say about that
View on GlassdoorPros: Best Managers who are expert in the field
Cons: Less Salary Hikes and No Bonus
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 1,205 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering | India | — | — – — | — |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 34 total · avg difficulty 3.0/5 · 33 questions indexed
Strong understanding of SQL fundamentals, including joins, aggregations, subqueries, and window functions, along with machine learning concepts such as supervised learning, model evaluation, feature engineering, classification, regression, and data preprocessing techniques.
Sample questions
I applied through the campus and was shortlisted for an interview. The process started with a brief HR discussion about my background, followed by a technical interview where I was asked about my projects, programming fundamentals, SQL, and problem-solving skills. The interview was smooth and lasted around 30–40 minutes.
Sample questions
Technical Interview • Focuses on data analysis tools and concepts. Topics they commonly ask: • Excel – Pivot tables, VLOOKUP, data cleaning • SQL – joins, group by, aggregations • PowerBi/Tableau / visualization basics • Case-based questions They may also ask you to explain your projects.
Sample questions
1st round was a self-assessment coding round on coderbyte platform, it was 4 hours long and there was 1 SQL question, 1 python sliding window question, 1 AWS question and multiple ci/cd conceptual questions. 2nd round was a technical round on python and SQL this was average. 3rd round was with the director about previous work experience, and some conceptual questions on PySpark, i felt i did okay in this but this is where i was rejected
Sample questions
I applied for a Solution Architect position and had a disappointing experience with the interview coordination. The HR team initially stated the interview required one hour and asked me to join at 2:45 PM, even though I had clearly communicated that I was unavailable before 3 PM. Despite suggesting alternate slots (5 PM, 6 PM, or 7 PM), they still scheduled the interview for 3:00–3:30 PM, contradicting their own requirement. When I declined that slot and requested a revised time, there was no response. Days later, I suddenly received an email at 9 PM asking me to complete a self-assessment by the next day 12 PM, with the misleading phrase “As discussed,” even though it was never mentioned earlier. The lack of communication, disregard for candidate time, and inconsistent information made the process unprofessional and frustrating. The company should improve transparency, coordination between teams, and respect for candidates’ schedules.
Sample questions
Top hiring roles: Engineering
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