Navikara

Sr Product Manager-Data Analytics

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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.