Business Intelligence Analyst (AI, Cloud, Connectivity Ecosystem)
Role details
Job location
Tech stack
Job description
This role is for an analytics professional who can operate with a level of autonomy to identify, access, and interrogate data sources that others might overlook. You will be responsible for proactively discovering correlations, patterns, and strategic insights that inform executive decision-making across our global operations. Rather than simply responding to data requests, you will anticipate business needs, design your own analytical frameworks, and drive data-driven narratives that shape our market strategy.
- Proactively identify and evaluate new internal and external data sources that could provide competitive intelligence or operational insights
- Design and implement data collection strategies from diverse sources including market databases, public datasets, partner systems, operational platforms, and industry sources
- Build a comprehensive understanding of our data ecosystem and continuously expand analytical capabilities
- Employ cutting-edge analytical tools and techniques (Python, R, SQL, machine learning frameworks) to extract insights from structured and unstructured data
- Develop custom analytical models and algorithms tailored to specific business questions
- Transform complex analytical findings into compelling narratives that drive executive decision-making
- Identify correlations and causal relationships that reveal strategic opportunities in market positioning, customer behavior, or operational efficiency
- Determine the most appropriate methodologies and tools for each analytical challenge
- Create interactive dashboards and visualizations using advanced tools (Tableau, Power BI, custom Python/R visualizations)
- Present findings with confidence, translating technical complexity into business impact
Requirements
Do you have experience in Tableau?, Do you have a Master's degree?, * Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related quantitative field
- 3-5 years of professional experience in data analytics, business intelligence, or related analytical roles
- Demonstrated track record of independently driving analytical projects that influenced business outcomes
- Advanced programming skills in Python or R, including libraries for data analysis (pandas, NumPy, scikit-learn, tidyverse, etc.)
Soft Skills:
- Strong intuition for identifying which data sources and metrics will yield meaningful insights
- Excellent written communication skills for creating executive-ready reports and presentations
- Confidence in presenting