Responsibilities
• Design, build, and maintain forecasting and analytical models that support strategic planning, staffing, and financial decision-making.
• Build and maintain internal tools, automations, and production-grade model deployments that scale the team's analytical capabilities beyond ad hoc analysis.
• Analyze complex operational and financial datasets to identify trends, risks, and opportunities.
• Provide analytical support for executive leadership by responding to strategic inquiries, special initiatives, and emerging business needs.
• Develop and monitor KPIs across business functions to ensure accurate performance measurement and alignment to goals.
• Translate data into actionable insights through clear reporting, dashboards, and executive-ready presentations.
• Improve and enhance analytical methodologies by incorporating new data sources, testing assumptions, and refining model parameters.
• Partner cross-functionally with Operations, Finance, Marketing, and Legal teams to align forecasts and planning assumptions.
• Conduct variance analysis and support root-cause investigations when results diverge from expectations.
• Uses AI as a productivity and impact multiplier, embedding it into workflows to accelerate analysis, improve output quality, and scale.
Qualifications
• BS or MS in Engineering, Computer Science, Statistics, or related quantitative field.
• 4+ years of experience in data science, engineering, analytics, or forecasting in a corporate environment.
• Demonstrated experience building and maintaining data models that influence operational or financial decisions.
• Strong proficiency in SQL and Python (or R) for data transformation, statistical analysis, machine learning, and automation.
• Familiarity with modern software engineering and cloud practices, including version control (Git), cloud platforms (Azure/AWS), agentic coding tools, containerization, CI/CD, and API development.
• Experience developing dashboards and reports using modern BI tools (Power BI preferred).
• Experience building and maintaining scalable ETL/ELT workflows, including data ingestion, transformation logic, validation checks, and production-ready analytical datasets.
• Advanced quantitative modeling, analytical reasoning, and critical thinking skills.
• Ability to communicate complex analytical concepts to both technical and non-technical audiences.
• Demonstrated ability to manage ambiguity, prioritize effectively, and deliver results in a fast-paced environment.
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Salary Range
$120,000-$160,000 USD
Benefits
Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays.
