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Digital Realty

Digital Realty

www.digitalrealty.com

1 Job

4,426 Employees

About the Company

Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation and interconnection solutions. PlatformDIGITAL®, the company's global data center platform, provides customers with a secure data "meeting place". Digital Realty enables its customers with the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents.

Listed Jobs

Company background Company brand
Company Name
Digital Realty
Job Title
Business Intelligence Analyst (AI, Cloud, Connectivity Ecosystem)
Job Description
Job Title: Business Intelligence Analyst (AI, Cloud, Connectivity Ecosystem) Role Summary: Independently source, analyze, and interpret diverse data assets to generate actionable insights that shape executive strategy and operational efficiency across global operations. Expectations: - Own end‑to‑end analytical projects from data acquisition to storytelling. - Anticipate business needs, design frameworks, and deliver measurable impact. - Maintain rigorous data governance and continuously expand analytical capabilities. Key Responsibilities: - Identify and evaluate internal and external data sources (market databases, public datasets, partner systems, operational platforms, industry sources). - Design and implement data collection strategies and enhance the organization’s data ecosystem. - Extract insights from structured and unstructured data using advanced analytics (Python, R, SQL, machine learning). - Develop custom models, algorithms, and causal analyses aligned with business questions. - Transform findings into clear, executive‑ready narratives and dashboards. - Build interactive visualizations with Tableau, Power BI, or custom Python/R tools. - Present results confidently to senior leadership, translating technical complexity into business impact. Required Skills: - Advanced programming in Python or R (pandas, NumPy, scikit‑learn, tidyverse, etc.). - SQL proficiency for data extraction and manipulation. - Experience with machine learning frameworks and statistical analysis. - Expertise in data visualization and dashboard creation (Tableau, Power BI, custom visualizations). - Strong analytical judgment to select appropriate methodologies. - Excellent written and verbal communication; confident presenter. - Ability to work autonomously and cross‑functionally. Required Education & Certifications: - Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or a related quantitative discipline. - 1–3 years of professional experience in data analytics, business intelligence, or a similar analytical role. - No mandatory certifications listed.
London, United kingdom
On site
Fresher
18-03-2026