Senior Data Analyst

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