Senior Data Analyst

Company: Telenor Shared Services Pakistan
Reporting to: Head of Product & Innovation

Job Group: 2B/3

Location: Islamabad

Department: Telenor Linx

Why you should join Telenor Shared Services Pakistan

At Telenor Shared Services Pakistan, you’ll lead a high-impact squad, drive E2E culture, and champion shared solutions across business units. We value proactive leadership, alignment, and collaboration in a diverse, inclusive environment.

About Telenor Shared Services Pakistan

Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance & Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.

Position Related

Telenor Linx is a company within the Telenor Group. We partner with global digital players such as Google, Meta and Netflix, and Mobile Network Operators worldwide, to provide the best possible user experiences. We secure connectivity for over 200 million subscribers, enabling them to stay connected independent of where they are. We offer a broad set of products and services as core telco services such as international voice, messaging, data roaming for Telenor, including software development of cloud-native solutions connecting mobile operators and digital service providers, globally, visit telenorlinx.com.

• Goals

• Translate complex, multi-source data into clear, business-ready narratives that directly influence strategic and operational decisions.

• Lead analysis across “what happened, why it happened, what will likely happen, and what should be done,” enabling proactive rather than reactive business actions.

• Leverage GenAI tools and workflow automation to improve speed, accuracy, and scalability of analysis while applying strong judgment on output reliability.

• Promote data-backed actionability across teams, simplify complex patterns for stakeholders, and collaborate cross-functionally to prioritize measurable business impact.

Key Responsibilities

• Convert organizational data into deep insights with no-code and low-code tools

• Handhold end users using generative AI to create insights

• Design statistically accurate business analysis models such as product profitability, financial risk exposure, sales opportunities, etc.

• Help engineering teams source the right data and help business users build the right understanding from the data by building intermediary analysis models

• Design statistical analysis models that help answer key business questions

• Design context-sensitive, meaningful, interactive visualizations that are consumable by both internal users and external customers

• Design use cases that help apply insights into downstream business workflows

• Develop GenAI driven workflows for business analysis

• Design statistical analysis models that help answer key business questions

• Apply agentic orchestration to automate multi‑step data analysis workflows and enable autonomous insight generation

Note: Above goals and job descriptions are indicative and subject to change

Eligibility Criteria

Experience and Qualification:

• Extensive experience with data analysis in telco or digital domains

• Several years of experience with business analysis and building models to answer key business questions

Relevant bachelor’s or master’s degree (e.g. Mathematics, Computer Science, Statistics, Business Administration (MBA) or similar)

Functional Skills / Knowledge Areas· A collaborative and goal-oriented approach

• Experience with Python and SQL

• Experience with inferring statistical models e.g. structural equation modeling, multi-level modeling, MANOVA, survival analysis, time-series, volatility prediction, Markov chains, clustering, segmentation, PCA, etc.

• Experience automating the business analysis workflow with GenAI tools

• Experience with no-code tools to combine Tableau data in agentic workflow platforms

• Some experience in identifying data quality issues and building data quality controls

• Experience working with enterprise class data platforms - RedShift, Databricks, dbt Cloud and Tableau

• Some understanding of data engineering is preferred, for e.g. setting up data pipelines and data APIs.

• Some experience with Model Context Protocol for data analysis

• Having excellent communication and interpersonal skills with the ability to interact effectively with clients and stakeholders at all levels

• A persistent attitude that addresses challenges and seeks effective solutions