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Ericsson Recruitment Drive; Hiring Data Analyst – Apply Now


Data Analyst Job Openings in Noida 2025!!!

Ericsson announced job vacancy for the post of Data Analyst. The place of posting will be at Noida. Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company

Ericsson

Required Qualifications

Graduate

Skills

Tableau Competence, Scripting

Work Type

Onsite

Official Website

ericsson.com

Join them at Ericsson as a Data Analyst where you will have the chance to define, create, automate, and maintain both standard and customized operational and statistical data. This vital role involves improving effectiveness through the development of new processes and providing consolidation for their diverse range of customers.

Θ Positions: Data Analyst

Θ Job Location: Noida

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID: 762404

Required Skills & Qualifications:

  • Graduate
  • Data Lakes.
  • Ericsson Operations Engine - Mode Of Operations.
  • Visual Analytics.
  • MS TOP.
  • Digital Dashboards.
  • Visualization and Dashboards.
  • Visual Modeling.
  • Tableau Competence.
  • Data Visualization.
  • Data Presentation.
  • Business Requirements.
  • Scripting.

Roles & Responsibilities:

  • 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 requestor's 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.

 

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