Enterprise Data Analyst

Job not on LinkedIn

🕒 October 9

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $143.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zurich Insurance

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Zurich Insurance is a global insurance and risk-management company offering a broad range of products and services including commercial and personal property & casualty insurance, life and critical-illness cover, pensions and retirement solutions, savings and investment products, claims and risk advisory, and specialty offerings such as microinsurance and travel coverage. The company also runs investment funds, sustainability and climate-focused initiatives, innovation and technology programs, and a foundation for community and environmental projects. Zurich serves both individual consumers and corporate clients across many countries, emphasizing governance, ESG reporting, digital innovation, and resilience.

📋 Description

• Analyze complex enterprise data and develop analytical data assets and insights supporting business decision-making across multiple functional areas • Evaluate, structure, and interpret large and diverse datasets for accurate reporting, strategic analysis, and operational insights • Collaborate with business and technical stakeholders to translate business requirements into data-driven solutions • Ensure data quality, consistency, and long-term usability • Identify trends, patterns, anomalies, and actionable insights in complex and large-scale datasets • Design, develop, and maintain analysis-ready data assets by integrating, validating, and organizing data from multiple sources • Develop and deliver reports, dashboards, and analytical outputs addressing business problems and enterprise initiatives • Perform data evaluations, profiling, and quality assessments and recommend improvements to analytical processes • Document data sources, analytical methodologies, assumptions, and findings • Enhance enterprise analytical capabilities by applying appropriate analytical methods and adapting solutions to evolving business needs • Collaborate with cross-functional teams in an agile or iterative work environment to plan, prioritize, and deliver analytical work

🎯 Requirements

• Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Electronic Engineering, or a closely related field of study • 5 years of experience in the job offered, or as a Business Intelligence Architect, Senior IT Consultant, Senior Associate, AI Engineer, Data Engineer or similar position responsible for analyzing enterprise data and developing analytical data assets and insights • 5 years of experience translating complex business requirements into technical and analytical solutions • 5 years of experience using analytical programming tools such as Python, including pandas and NumPy, and SQL-based analytics • 5 years of experience using SQL for data extraction and transformation • 5 years of experience using business intelligence tools such as Microsoft Power BI, including DAX and Power Query • 5 years of experience performing deep dive data analysis and data profiling • 5 years of experience translating raw data into actionable insights and reports • 5 years of experience performing data cleaning and transformation • 5 years of experience developing and applying ETL solutions using enterprise data integration tools • Employment sponsorship is not offered

🏖️ Benefits

• Competitive pay • Comprehensive benefits for employees and their families • Short-term incentive bonuses • Merit increases • Growth, inclusion, and a supportive environment

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