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Analytics Engineer

1 month, 1 week ago
United States
Full-time
Mid Level
Analytics Engineer
Data Science and Analytics
AWS Azure CI/CD Git Machine Learning Power BI Python R SQL
Apply Now
Morgan & Morgan

Morgan & Morgan

Morgan & Morgan is America's largest personal injury law firm, providing legal representation for individuals and families injured by negligence. With over $15 billion recovered for clients, they are dedicated to fighting for the people.

Specialized Consumer Services
1K-5K
Founded 1988
View All Jobs 22

Description

  • Design, build, and maintain forecasting and analytical models to 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.
  • Analyze complex operational and financial datasets to identify trends, risks, and opportunities.
  • Provide analytical support to executive leadership for 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 reporting, dashboards, and executive-ready presentations.
  • Improve 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.
  • Embed AI into workflows to accelerate analysis, improve output quality, and scale impact.

Requirements

  • BS or MS in Engineering, Computer Science, Statistics, or a 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 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, with 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.
  • Ability to manage ambiguity, prioritize effectively, and deliver results in a fast-paced environment.

Benefits

  • Salary range of $120,000 to $160,000 USD.
  • Medical and dental insurance for full-time employees.
  • 401(k) retirement plan.
  • Paid time off.
  • Paid holidays.

Interested in this position?

Apply directly on the company website

Apply Now

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