3 months ago
Taguig City, PhilippinesSenior
Responsibilities
- Develop analytics-driven tools, automations, and data solutions aligned with business priorities.
- Build scalable models, dashboards, workflows, applications, and analytical solutions for complex business challenges.
- Deliver solutions end to end from data sourcing and transformation through modeling, visualization, deployment, and adoption.
- Advise stakeholders on complex business issues and translate analytical findings into practical recommendations.
- Identify opportunities to reduce manual effort, improve process quality, and enhance decision-making through data, automation, and AI.
- Design and implement scripted pipelines, Excel add-ins, desktop applications, and user-facing productivity and control tools.
- Apply artificial intelligence, machine learning, and generative AI capabilities in practical business settings.
- Establish development standards, documentation practices, and scalable operating methods for the capability.
- Manage mid- to large-scale projects and workstreams, coordinating priorities and delivery.
- Coach junior team members and promote strong analytical and engineering practices.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, or a related quantitative discipline; an advanced degree is preferred.
- Significant relevant experience in data engineering, analytics, business intelligence, automation, or a related technical role.
- Advanced SQL proficiency and a deep understanding of data modeling, data transformation, and scalable analytical architecture.
- Strong Python experience for analytics, automation, and production-oriented solution development.
- Experience developing dashboards and business-facing analytical solutions with Power BI, Tableau, or similar platforms.
- Experience with C#/.NET application development, including desktop applications, Excel add-ins, or similar user-facing tools.
- Demonstrated experience applying AI, machine learning, or generative AI solutions in practical business settings.
- Experience in insurance, reinsurance, financial services, or other complex data-rich environments is strongly preferred.
- Ability to build new capabilities, products, or processes from the ground up in ambiguous environments.
- Strong strategic thinking, independent judgment, stakeholder influence, communication, quality standards, and coaching ability.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with opportunities to create solutions and have impact.
- Career opportunities, benefits, and rewards supporting employee well-being.
- Hybrid work with remote flexibility; colleagues are expected to work in their local office or onsite with clients at least three days per week, and office-based teams designate at least one weekly anchor day.
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.