Senior Data Analytics Specialist

Gurgaon, Haryana, India

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Collect, process and analyze large-scale data to monitor network performance and service quality
Develop and maintain dashboards, reports and visualizations tracking KPIs
Conduct business analysis to find process optimization and cost reduction opportunities
Design, develop and deploy AI/ML models for performance forecasting and prediction
Translate business needs into technical solutions, including data pipelines and models

From the employer’s posting

Collect, process, and analyze large-scale data to monitor network performance, service quality, and operational efficiency.

Develop and maintain dashboards, reports, and visualizations to track KPIs related to network and business performance.

Conduct business analysis to identify opportunities for process optimization, cost reduction, and service improvement.

Design, develop, and deploy AI/ML models for performance forecasting and prediction.

Collaborate with cross-functional teams to translate business needs into technical solutions, including data pipelines and models.

Education & alternatives

- Stay updated on telecom industry trends, emerging AI/ML techniques, and Agile best practices to support continuous improvement. - Bachelor’s or Master’s degree in Data Science, Computer Science, Telecommunications, Electrical Engineering, or related fields. - Proven experience in data analysis, performance analysis, and business analysis within telecom or related industries.

Apply at Orange Business

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 5, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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From 10,933 similar postings that came down. Coming down is not always a hire.

Orange Business is hiring

27 open jobs

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Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
Power BI
Spark
Tableau
scikit-learn
TensorFlow

Where the posting names them

- Strong understanding of OSS/BSS systems, network KPIs, and telecom operations. - Hands-on experience with AI/ML frameworks and tools (e.g., Python, R, TensorFlow, scikit-learn). - Proficiency in SQL, ETL/ELT processes and data visualization tools (Tableau, Power BI), and data pipeline development.

- Hands-on experience with AI/ML frameworks and tools (e.g., Python, R, TensorFlow, scikit-learn). - Proficiency in SQL, ETL/ELT processes and data visualization tools (Tableau, Power BI), and data pipeline development. - Familiarity with big data technologies (Spark/Fabric/Splunk) is a plus.

- Proficiency in SQL, ETL/ELT processes and data visualization tools (Tableau, Power BI), and data pipeline development. - Familiarity with big data technologies (Spark/Fabric/Splunk) is a plus. - Excellent problem-solving, analytical, and communication skills.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Publication date : Sep 25, 2026, 12:00AM

Join us at Orange Business!

We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.

Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

Collect, process, and analyze large-scale data to monitor network performance, service quality, and operational efficiency.
Develop and maintain dashboards, reports, and visualizations to track KPIs related to network and business performance.
Conduct business analysis to identify opportunities for process optimization, cost reduction, and service improvement.
Design, develop, and deploy AI/ML models for performance forecasting and prediction.
Collaborate with cross-functional teams to translate business needs into technical solutions, including data pipelines and models.
Maintain a good understanding of telecom OSS/BSS architecture, KPIs, and industry best practices.
Participate actively in Agile/Scrum teams, contributing to sprint planning, stand-ups, and iterative development.
Stay updated on telecom industry trends, emerging AI/ML techniques, and Agile best practices to support continuous improvement.

Bachelor’s or Master’s degree in Data Science, Computer Science, Telecommunications, Electrical Engineering, or related fields.
Proven experience in data analysis, performance analysis, and business analysis within telecom or related industries.
Strong understanding of OSS/BSS systems, network KPIs, and telecom operations.
Hands-on experience with AI/ML frameworks and tools (e.g., Python, R, TensorFlow, scikit-learn).
Proficiency in SQL, ETL/ELT processes and data visualization tools (Tableau, Power BI), and data pipeline development.
Familiarity with big data technologies (Spark/Fabric/Splunk) is a plus.
Excellent problem-solving, analytical, and communication skills.

You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.

Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
Professional Development: training programs and upskilling/re-skilling opportunities.
Career Growth: Internal growth and mobility opportunities within Orange.
Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
Reward Programs: Employee Referral Program, Change Maker Awards.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

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