Enterprise Data Analyst

Zurich Insurance

. Analyze complex enterprise data and develop analytical data assets and insights supporting business decision-making across multiple functional areas .

Posted 10/9/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $143,427 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing complex enterprise data and developing analytical data assets to support business decision-making. Proficient in translating business requirements into technical solutions while ensuring data quality and delivering actionable insights through advanced analytical methods.

Highest-signal resume keywords

Data AnalysisSQL-Based AnalyticsBusiness Intelligence ToolsAnalytical Programming ToolsETL Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EvaluationData ProfilingData CleaningData TransformationAnalytical MethodologiesData IntegrationPythonPandasNumPyMicrosoft Power BI

Soft Skills

CollaborationCommunicationProblem-SolvingAdaptabilityAgile Methodologies

Tools & Technologies

Microsoft Power BIDAXPower QueryETL ToolsAnalytical Dashboards

Industry Keywords

Enterprise DataBusiness Decision-MakingData QualityOperational InsightsCross-Functional Teams

Tech Stack

Tools & technologies

ETLNumpyPandasPythonSQL

About the role

Key responsibilities & impact

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 requirements into data-driven solutions
Ensure data quality, consistency, accuracy, reliability, completeness, and long-term usability
Identify trends, patterns, anomalies, and actionable insights in complex, 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 supporting business problems and enterprise initiatives
Perform data evaluations, profiling, and quality assessments and recommend process improvements
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

What you’ll need

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

Comp & perks

Competitive pay
Comprehensive benefits for employees and their families
Short-term incentive bonuses
Merit increases
Growth opportunities
Inclusion and supportive work environment
Remote work option from anywhere in the U.S.