Data Analyst

Ericsson; Kanpur; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Ericsson Noida is seeking a Senior Data Analyst to identify business insights from operational and network data and drive measurable improvements. You will design scalable data pipelines, dashboards, and governance artifacts for controls and audit readiness.

The role requires strong analytics, experience in telecom or IT service operations, and proficiency with Python, Power BI, Excel, and SQL. Master’s in statistics or mathematics is preferred.

Qualifications

• Must have 6 years of experience as Senior Data Analyst in Telecom/IT Service Operations.
• Master’s degree in Mathematics or Statistics preferred.
• Strong understanding of ITIL, eTOM, and TM Forum (ANO) frameworks.
• Advanced data exploration, storytelling, and communication skills.

Responsibilities

• Extract, consolidate, and interpret operational and performance datasets to deliver meaningful insights.
• Lead the reporting and analytics approach within Operations by designing scalable, repeatable data pipelines.
• Create, automate, and maintain dashboards and reports for stakeholders including senior leadership.
• Maintain governance documentation, SOPs, and audit-ready controls.

Skills

Telecom/IT Service Operations

Advanced data exploration

Storytelling & communication

Mathematical statistics

Education

Master’s degree in Mathematics or Statistics

Tools

Python

VBA

Power BI

Excel

SAP BI

GCP

Tableau

Job description

Join our Team

About Opportunity

The role is accountable for identifying business insights and driving improvement opportunities through Statistical, Exploratory, and Advanced Analytics. The analyst will design, automate, and maintain analytical solutions across operational and network performance, enabling measurable on-ground improvements. This role requires an analytical thinker who can translate complex datasets into meaningful insights for business and network functions.

Key Responsibilities

Reporting & Data Analysis

• Extract, consolidate, and interpret operational and performance datasets to deliver meaningful insights.
• Lead the reporting and analytics approach within Operations by designing scalable, repeatable data pipelines.
• Create, automate, and maintain recurring dashboards and reports for stakeholders including senior leadership.

Governance, Documentation & Audit

• Maintain reporting calendars, SOPs, and process documentation.
• Develop and maintain governance and control documentation ensuring data integrity, audit readiness, and compliance.

Process Improvement & Ad-hoc Analytical Work

• Lead the Global Benchmarking initiative for MSN, providing insights and executive ready narratives for senior SLOP and MSN leadership.
• Build and refine audit processes to enhance data accuracy and operational efficiency. Perform ad hoc and deep dive analysis to support evolving business requirements.
• Design and document new reporting solutions, including effort estimation and implementation planning.

Exploratory & Advanced Analytics

• Conduct advanced analytics on operational and network datasets to uncover patterns and improvement areas.
• Apply statistical and mathematical techniques to build insights that support network and operational decisions.
• Independently drive data led improvements and initiatives across processes.

Essential Skills & Competencies

Must-Have Skills

• Strong understanding of Telecom or IT Service Operations. Applied Mathematics & Statistics
• Advance Data exploration, storytelling, and strong communication skills.
• Familiarity with ITIL, eTOM, and TM Forum (ANO) process framework.
• 6 years of experience as Senior Data Analyst in Telecom/IT Service Operations.
• master’s degree in mathematics or Statistics (preferred).

Good to Have

• Python knowledge for automation and analytical tooling.
• VBA experience for reporting automation. Hands-on experience with Advanced Excel, Power BI, SAP BI, GCP, and Tableau.

What Success Looks Like

• First 3 Months: Learn operational methods (domain knowledge), align with team culture, and begin contributing to data-driven improvements.
• 6 Months: Improve analytical output quarter by quarter; deliver consistent, stakeholder-ready insights.
• 12 Months: Independently explore data, generate insights, communicate findings, and manage customer interactions.

All academic credentials must be from recognized and accredited institutions and are further subject to verification

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

Primary country and city:

India (IN) || Noida