Role Overview

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.
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.

Requirements

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)
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.

Tech Stack

Amazon Redshift
Cloud
Python
SQL
Tableau

Benefits

Health insurance
Professional development opportunities
Flexible work arrangements

Telenor

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Senior Data Analyst