Analytics Engineer

Posted 13 Days Ago
Brooklyn, New York, NY, USA
In-Office
120K-160K Annually
Mid level
Legal Tech
The Role
Design, build, and maintain forecasting and analytical models, ETL/ELT pipelines, dashboards, and production-grade model deployments. Analyze operational and financial data, develop KPIs, support executive strategic inquiries, and partner cross-functionally to translate data into actionable insights while embedding AI to scale workflows.
Summary Generated by Built In

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.

#LI-AP1

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.

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

Here is a link to Morgan & Morgan's privacy policy.

Skills Required

  • 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.
  • Strong proficiency in Python (or R) for data transformation, statistical analysis, machine learning, and automation.
  • Familiarity with version control (Git).
  • Familiarity with cloud platforms (Azure or AWS).
  • Familiarity with 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.
  • Experience using AI/agentic coding tools and incorporating AI into analytical workflows.
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The Company
HQ: Orlando, FL
4,002 Employees
Year Founded: 1988

What We Do

John Morgan became a lawyer with a simple mission: To fight for the people, and not the powerful. After experiencing firsthand the perils of choosing the wrong lawyer and representation after his brother Tim was paralyzed, he dedicated his life to helping people so that no one should ever have to go through what his family endured. Tim was just a teenager when he was working as a lifeguard at Disney World when he suffered a spinal injury that left him confined to a wheelchair for the rest of his life. The Morgans made a life altering decision and they hired the wrong lawyer, who was by no means qualified to take on such a large corporation and their army of lawyers. As a result, Tim never got the compensation he deserved. This experience left John outraged and determined to level the playing field for all people who, like his brother Tim, were injured or mistreated by big and powerful corporations. John decided to become a lawyer, and the rest is history. Since 1988, Morgan & Morgan has been fighting for the people. Every client who walks through our doors is treated the same way John wished his family would have been treated all those years ago. No one, no matter who they are, or where they’re from, should ever feel powerless when fighting for the justice and compensation they deserve. With $20 Billion dollars recovered for our clients, offices across 50 states + Washington D.C. and an army of over 1,000 attorneys - we are everywhere for everyone. All law firms are not the same. There’s only one Morgan & Morgan.

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