Sobre esta vaga de Analytics Engineer na Morgan & Morgan, P.A.
At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.
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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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.
Equal Opportunity Statement
Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
E-Verify
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.
Privacy Policy
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