Last date
26/06/2026
Openings
1 or more
Qualification
Analytics;presentation;MS TOP
Post
Full Time
Overview
What you will do:- Define and deliver standard and new analyses, under supervision where needed.Develop and implement simple automation scripts.Document business requirements and analytics implementations.Assess the effort required to execute specifi...
- Company
- Powered by Monster
- Location
- Ganganagar; Rajasthan; Uttar Pradesh
- Salary
- 300000 - 700000 (per annum)
- Skill Required
- Analytics;presentation;MS TOP
- Duration
- Not specified
- Posted On
- 28/4/2026
- Company Client
- (On behalf of Cradlepoint)
- External Apply URL
- True
Detail Fields
Sector: Other Service Activities Functional Area: Human Resources Functional Role: Fresher Total Experience In Years: 1 - 3 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 Cradlepoint) Click here for more details Job Title Data Analyst Organisation Type Sector Other Service Activities Functional Area Human Resources Functional Role Fresher Job Description What you will do:- Define and deliver standard and new analyses, under supervision where needed.Develop and implement simple automation scripts.Document business requirements and analytics implementations.Assess the effort required to execute specific analyses.Translate business requirements into actionable analytics.Reuse existing templates in line with the requestors needs.Maintain and upgrade existing measures and analyses.Debug and improve existing automation scripts.Uphold operational recurring deliverables.Update all relevant documentation.Carry out thorough data audits.Develop and maintain visually compelling data visualizations.Present complex information in an accessible and understandable manner, enabling easy interpretation and identification of patterns, trends, and correlations.
