Last date
22/06/2026
Openings
1 or more
Qualification
Supply Chain;Ecommerce
Post
Full Time
Overview
Key Responsibilities:Analyze large datasets to extract insights and identify trends that inform product decisions.Build, maintain, and optimize dashboards using Tableau, Excel, or other visualization tools.Work closely with stakeholders across multip...
- Company
- Powered by Monster
- Location
- Ganganagar; Rajasthan; Uttar Pradesh
- Salary
- 350000 - 650000 (per annum)
- Skill Required
- Supply Chain;Ecommerce
- Duration
- Not specified
- Posted On
- 26/4/2026
- Company Client
- (On behalf of Cerebra IT Services Private Limited)
- External Apply URL
- True
Detail Fields
Sector: Other Service Activities Functional Area: Human Resources Functional Role: Fresher Total Experience In Years: 5 - 10 Nature Of Job: Full Time Gender Preferences: Any Ex Servicemen Preferred: No
Eligibility
Criteria Education: Job Requirement as per Employer posting Label Criteria Skill: Job Requirement as per Employer posting Criteria Experience: Job Requirement as per Employer posting Criteria Location: Job Requirement as per Employer posting Yes: No
Full Detail Text
Company Name: Powered by Monster (On behalf of Cerebra IT Services Private Limited) Click here for more details Job Title Sr Product Manager-Data Analytics Organisation Type Sector Other Service Activities Functional Area Human Resources Functional Role Fresher Job Description Key Responsibilities:Analyze large datasets to extract insights and identify trends that inform product decisions.Build, maintain, and optimize dashboards using Tableau, Excel, or other visualization tools.Work closely with stakeholders across multiple geographies and functions to define product requirements.Translate analytical insights into actionable product outcomes and operational improvements.Collaborate with cross-functional teams including engineering, data, and business teams to support product initiatives.Contribute to AI/ML product initiatives where applicable.Promote a data-driven product culture through continuous measurement, experimentation, and optimization.Ensure documentation and communication of complex data insights is clear for both technical and non-technical audiences.
