*Enterprise Data Analyst

Zurich Insurance; Schaumburg (IL); On-site; USD 140,000 - 146,000; Full time

Benefits offered by this job

Remote work option

Job summary

Zurich North America in Schaumburg, IL, seeks an Enterprise Data Analyst to translate complex business data into actionable insights and scalable data assets across functions.

You will collaborate with stakeholders to design analytics solutions, build dashboards in Power BI, and apply Python/SQL to deliver reports that support strategic decisions. Remote work from anywhere in the U.S. is optional.

Qualifications

• Bachelor's degree in CS, Engineering, or a closely related field.
• 5 years of experience in data analytics/BI roles.
• Experience translating business requirements into data solutions.
• Proficiency with Python, SQL, and Power BI (DAX/Power Query).
• Experience with ETL and data quality practices.

Responsibilities

• Analyze complex enterprise data to enable reporting, strategic analysis, and insights.
• Develop analysis-ready data assets by integrating data from multiple sources.
• Collaborate with stakeholders to translate requirements into data solutions.
• Deliver dashboards and reports to support enterprise initiatives.
• Ensure data quality and governance across data assets.

Skills

Python

Pandas

NumPy

SQL

Data profiling

Data analysis

ETL

DAX

Education

Bachelor's degree in CS/Engineering or related field

Tools

Power BI

Power Query

Job description

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137598

Zurich (Schaumburg, IL) seeks an Enterprise Data Analyst responsible for analyzing complex enterprise data and developing analytical data assets and insights that support business decision making across multiple functional areas. Specific duties include: evaluating, structuring, and interpreting large and diverse data sets to enable accurate reporting, strategic analysis, and operational insights; collaborating with business and technical stakeholders to translate business requirements into data driven solutions while ensuring data quality, consistency, and long term usability; analyzing complex and large-scale datasets to identify trends, patterns, anomalies, and actionable insights that support business and strategic decision‑making; designing, developing, and maintaining analysis‑ready data assets by integrating, validating, and organizing data from multiple sources to ensure accuracy, reliability, and usability; translating complex business requirements into analytical approaches and data solutions by collaborating with stakeholders to understand objectives and deliver meaningful insights; developing and delivering data‑driven analytical solutions, including reports, dashboards, and analytical outputs, to address business problems and support enterprise initiatives; performing data evaluations, profiling, and quality assessments to ensure data completeness, consistency, and integrity, and recommending improvements to analytical processes; documenting data sources, analytical methodologies, assumptions, and findings to support transparency, knowledge transfer, and long‑term maintenance of analytical assets; supporting the enhancement of enterprise analytical capabilities by applying appropriate analytical methods and adapting solutions to evolving business needs; collaborating with cross‑functional teams in an agile or iterative work environment to plan, prioritize, and deliver analytical work effectively. Option to work remotely from anywhere in the U.S.

Position requires a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Electronic Engineering, or a closely related field of study, plus 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 analyzing enterprise data and developing analytical data assets and insights. Must have 5 years of experience with each of the following: translating complex business requirements into technical and analytical solutions; using analytical programming tools such as Python, including pandas and NumPy, and SQL based analytics; using SQL for data extraction and transformation; using business intelligence tools such as Microsoft Power BI, including DAX and Power Query; performing deep dive data analysis and data profiling; translating raw data into actionable insights and reports; performing data cleaning and transformation; and developing and applying ETL solutions using enterprise data integration tools. Option to work remotely from anywhere in the U.S.

Full time position.

At Zurich, compensation for roles is influenced by a variety of factors, including but not limited to the specific office location, role, skill set, and level of experience. In compliance with local laws, Zurich commits to providing a fair and reasonable compensation range for each role. For more information about our Total Rewards, please click here . Additional rewards may encompass short‑term incentive bonuses and merit increases. We encourage candidates with salary expectations beyond the provided range to apply, as they will be considered based on their experience, skills, and education. The salary indicated represents a nationwide market range and has not been adjusted for geographic differentials pertaining to the location where the position may be filled. The proposed salary range for this position is $143,427.

We offer competitive pay and comprehensive benefits for employees and their families. [Learn more about Total Rewards here .]

At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment—so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500®.

Join us for a brighter future—for yourself and our customers.

Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets.

Zurich complies with 18 U.S. Code § 1033.

Please note: Zurich does not accept unsolicited CVs from agencies.

• Location(s): AM - Schaumburg
• Remote Working: Yes
• Schedule: Full Time
• Employment Sponsorship Offered: No