Zurich Insurance
Zurich Insurance
Zurich Insurance ir globāls apdrošināšanas un risku pārvaldības uzņēmums, kas privātpersonām un uzņēmumiem nodrošina apdrošināšanas segumu, finansiālo aizsardzību un konsultāciju pakalpojumus. Tā piedāvājumā ietilpst uzņēmumu un privātpersonu īpašuma un civiltiesiskās atbildības apdrošināšana, dzīvības un kritisko slimību apdrošināšana, pensijas, pensionēšanās plānošana, uzkrājumu un ieguldījumu produkti, atlīdzību pieteikumu apstrāde, risku konsultācijas, mikrodrošināšana un ceļojumu aizsardzība. Uzņēmums darbojas arī ieguldījumu pārvaldības, klimata un ilgtspējas iniciatīvu, digitālo inovāciju, tehnoloģiju un kopienām paredzētu projektu jomā, un tā komandas atbalsta klientus un uzņēmuma darbību vairākās valstīs.

Enterprise Data Analyst — Zurich Insurance

Analyze enterprise data at Zurich Insurance, a North American risk management and insurance company. Build analytical data assets, dashboards, and ETL solutions that deliver actionable business insights.

Apraksts

  • Analyze enterprise data and create analytical assets that inform decisions across business functions.
  • Assess and interpret large, varied datasets to support accurate reporting, strategic analysis, and operational insight.
  • Work with business and technical stakeholders to turn requirements into data-driven solutions.
  • Maintain data quality, consistency, accuracy, reliability, completeness, and usability over time.
  • Find trends, patterns, anomalies, and actionable insights in complex, large-scale datasets.
  • Integrate, validate, and organize data from multiple sources to build and maintain analysis-ready assets.
  • Create and deliver reports, dashboards, and analyses for business challenges and enterprise initiatives.
  • Profile and assess data quality, then recommend process improvements.
  • Record data sources, analytical methods, assumptions, and findings.
  • Strengthen enterprise analytics by applying suitable methods and adapting solutions as business needs change.
  • Plan, prioritize, and deliver analytical work with cross-functional teams in agile or iterative settings.

Prasības

  • Bachelor’s degree or foreign equivalent in computer science, engineering, electronic engineering, or a closely related field.
  • Five years of experience in the offered role or a similar role analyzing enterprise data and developing analytical assets and insights, such as Business Intelligence Architect, Senior IT Consultant, Senior Associate, AI Engineer, or Data Engineer.
  • Five years of experience translating complex business requirements into technical and analytical solutions.
  • Five years of experience with analytical programming tools, including Python, pandas, NumPy, and SQL-based analytics.
  • Five years of experience using SQL for data extraction and transformation.
  • Five years of experience with business intelligence tools such as Microsoft Power BI, including DAX and Power Query.
  • Five years of experience conducting in-depth data analysis and profiling.
  • Five years of experience turning raw data into actionable insights and reports.
  • Five years of experience cleaning and transforming data.
  • Five years of experience developing and applying ETL solutions with enterprise data integration tools.
  • Employment sponsorship is not available.

Priekšrocības

  • Competitive compensation.
  • Comprehensive benefits for employees and their families.
  • Short-term incentive bonuses.
  • Merit increases.
  • Opportunities for growth.
  • An inclusive and supportive work environment.
  • Remote work option from anywhere in the United States.

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