Data Scientist designing and delivering analytical models for casualty catastrophe risks in Boston or Jersey City.
About the role
- Data Manager leading the management and strategic use of enterprise data for business growth and decision making. Collaborating with teams to deliver scalable data solutions and explore AI-driven insights.
Responsibilities
- Manage and optimize the company’s data warehouse architecture and data pipelines.
- Design and maintain scalable data models to support analytics, reporting, and business intelligence.
- Ensure data quality, reliability, and governance across internal data systems.
- Oversee ETL/ELT processes to integrate data from multiple sources including CRM, marketing platforms, financial systems, and operational databases.
- Implement best practices for data security, access control, and data lifecycle management.
- Deliver high level analysis to support revenue growth, customer acquisition, and market expansion.
- Analyze sales pipeline performance, customer behavior, marketing campaign effectiveness, and market trends.
- Develop dashboards and reporting frameworks that provide leadership with clear, actionable insights.
- Partner with Sales and Marketing leaders to identify opportunities for growth, efficiency, and competitive advantage.
- Translate business questions into data driven analysis and recommendations.
- Support leadership with strategic analysis including forecasting, segmentation, and performance measurement.
- Identify key metrics and KPIs that drive business performance.
- Build scalable analytical frameworks that support long term decision making.
- Explore and implement opportunities to leverage AI and machine learning to enhance analytics and forecasting.
- Develop scalable data automation processes that improve reporting efficiency and reduce manual work.
- Support the integration of AI tools that enhance insight generation, predictive modeling, and operational decision making.
- Work closely with business stakeholders to understand data needs and translate them into technical solutions.
- Act as a bridge between technical teams and business leaders.
- Communicate insights clearly to both technical and non-technical audiences.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
- 5+ years of experience in data management, analytics, or business intelligence roles.
- Strong experience with data warehouse environments (Snowflake, Redshift, BigQuery, or similar).
- Experience designing and managing data pipelines and ETL/ELT workflows.
- Strong SQL skills and experience working with large datasets.
- Experience analyzing sales, marketing, or customer data to support business strategy.
- Strong ability to translate complex data into clear insights for leadership.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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JJ
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