
Jr. Data Analyst Job Openings in Bangalore 2025!!!
Gainwell Technologies announced job vacancy for the post of Jr. Data Analyst.The place of posting will be at Bangalore.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Name of the Company | Gainwell Technologies |
Required Qualifications | Graduate |
Skills | Statistics / Analytics / Machine learning |
Category | Technology |
Work Type | Remote/Hybrid |
As a Jr. Data Analyst at Gainwell, you can contribute your skills as they harness the power of technology to help their 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.
Θ Positions: Jr. Data Analyst
Θ Job Location: Bangalore (Remote/Hybrid)
Θ Salary: As Per Company Norms
Θ Job Type: Full Time
Θ Requisition ID: 31142
Roles and Responsibilities:
- 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.
Required Skills & 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
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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