Gainwell Off Campus Drive 2025 | Jr. Data Analyst | Bachelor's/Master's degree
Gainwell has invited applications for the recruitment of Jr. Data Analyst post. It is an entry level position and freshers can apply.
Interested candidates meeting the eligibility criteria can apply online at the earliest.
Candidates can find the links for the job notification, applying online, eligibility criteria and other details here.

Gainwell Off Campus Drive 2025 Details:
Experience: Freshers (0 – 2 years)
Post Name: Jr. Data Analyst
Qualification: Bachelor’s or Master’s degree
Batch: Recent Batches
Salary: Rs. 6 LPA (expected)
Last Date to apply: As soon as possible
Job Locations: Bangalore
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Summary
As a Jr. Data Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.
Your role in our mission
- Conceptualizes, builds, develops and enhances a client’s analytic model. Queries databases and performs basic exploratory analysis to develop reports and presentations on unstructred and/or structured data Creates methods of obtaining data that can be used for data sciences; Identifies ways to improve current data mining for future recommendation to reduce manual manipulation of data.
- Be proficient in atleast 1 key areas, applies analytic methods and adds to problem domains
- ⢠Summarizes complex ideas by developing visual models to display insights to simplify user experience.
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Basic Qualifications
- Bachelor’s degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology, or Data Analysis Master’s degree in related field preferred.
- Typically 0-2 years of relevant experience in the area of statistics/analytics/machine learning
- Extensive knowledge of data science methodologies including but not limited to classical regression, neural nets, sequence analysis, cluster analysis, and text mining
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Other Qualifications
- Extensive understanding of analytics programming languages (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures
- Extensive machine learning techniques and mathematical modeling skills
- good knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3)
- Planning, time-management, project management and organization skills to balance and prioritize work
- Willingness to travel
Work Environment
- Remote/Hybrid Environment
- May require shift or weekend work- shift is unlikely, but weekend work is sometimes the norm
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How to Apply?
- Interested candidates meeting the eligibility criteria have to apply at the following link:
Apply Online
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