3 дня назад
Data Analyst (AI)
100 000 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (AI) (Insurance Analytics): Building data models, dashboards, and analytics products for a data-driven insurance brokerage with an accent on stakeholder partnership, SQL, visualization, and AI-assisted analysis. Focus on forecasting, segmentation, scenario analysis, data quality validation, and taking analytics products from prototype through release and adoption.
Location: USA; hybrid
Salary: $100,000–$130,000 base salary annually, plus a discretionary bonus
Company
is a global, employee-owned insurance group with broking, reinsurance, and MGA capabilities, employing more than 22,000 people across 56 countries.
What you will do
- Act as an embedded business partner, understanding processes, decisions, pain points, priorities, and desired outcomes.
- Translate business questions into data visualizations, calculations, data models, metrics, and acceptance criteria.
- Use AI-assisted capabilities for data exploration, SQL development, documentation, testing, visualization, and prototyping.
- Partner with engineering and governance teams to build end-to-end data products with documented definitions, lineage, ownership, assumptions, and quality rules.
- Build forecasting, segmentation, and scenario analysis tools to support business decisions.
- Own the analytics product lifecycle from problem definition and prototyping through validation, release, adoption, and improvement.
Requirements
- Bachelor’s degree in analytics, data science, information systems, business, finance, economics, statistics, or a related field, or equivalent professional experience.
- 3+ years of experience in data analysis, business intelligence, analytics product development, or a related discipline.
- Hands-on experience with SQL and a modern data visualization platform such as Power BI.
- Experience translating business needs into dashboards, analytical products, metrics, or decision-support solutions.
- Experience collaborating with business leaders, subject-matter experts, data engineers, architects, and governance partners.
- Knowledge of BI, data visualization, dimensional modeling, and medallion architecture, with strong analytical, communication, and commercial judgment.
Nice to have
- Experience with predictive modeling, Python, R, Databricks, cloud data platforms, or AI-enabled analytics tools.
- Insurance brokerage, financial services, or other data-intensive industry experience.
- Experience establishing new analytics capabilities or reporting functions from scratch.
Culture & Benefits
- Employee ownership, with 6,000 employee shareholders owning 34% of the company.
- Medical, dental, and vision insurance, including healthcare savings and reimbursement accounts.
- 401(k) retirement plan, flexible paid time off, and paid parental leave.
- Life and disability insurance.
- Support for personal development, volunteering, sustainability, and reasonable workplace adjustments.
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