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# Analytics and Insights Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $113,000.0 - $188,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Cloud Database, Data Transformation, Data Visualization, Global Positioning Systems (GPS), Machine Learning, Web Content Accessibility Guidelines, Snowflake, Data Analytics, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=370647

## About the Role

* Ability to work independently and collaborate as part of a team
 * Effective written and verbal communication skills
 * Meticulous attention to detail and quality of work product
 * Ability to build and sustain professional relationships
 * Ability to lead projects or workstreams
 * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to provide clear guidance to others, Required:
 * Bachelor's degree
 * Ability to obtain and maintain the required clearance for this role
 * 5+ years of professional experience applying data science, statistics, or mathematics using Python, R, or another analytical or statistical programming language
 * 4+ years of experience developing and training custom AI/ML models using supervised and unsupervised learning, including natural language processing (NLP) for unstructured data
 * 2+ years of experience manipulating unstructured data from multiple platforms and using Tableau, Power BI, Qlik, or Elastic X-Pack for data visualization; experience using Structured Query Language (SQL) for database administration or SQL programming
 * Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

 * Experience with Amazon Web Services (AWS) big data and analytics services, including Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines
 * Experience applying Section 508 or Web Content Accessibility Guidelines (WCAG) standards to dashboards and data visualizations
 * Experience using dbt, Apache Airflow, or Dagster for data transformation and pipeline orchestration
 * Experience applying AI/ML methods in litigation-support or other legally sensitive environments
 * Experience building data visualizations and presenting quantitative concepts to nontechnical audiences
 * Experience independently reviewing statistical or machine-learning analyses, including assumptions, methodology, and interpretation

## Description

As an Analytics and Insights Engineer III on the AI & Engineering team, you will be responsible for:

 * Integrate large-scale client data and conduct statistical analyses supporting investigative, litigation, and claims-management needs
 * Design and implement artificial intelligence and machine learning (AI/ML) solutions, including supervised and unsupervised models, for anomaly detection, predictive analytics, and investigative insights across healthcare, financial, and mass tort data
 * Manage large or unstructured data in Amazon Web Services (AWS) GovCloud using data lakes, serverless computing, AWS Lambda, and extract, transform, and load (ETL) practices
 * Develop automated, reproducible, and auditable workflows for data collection, processing, statistical analysis, and reporting; identify automation opportunities that improve efficiency and accuracy
 * Train client personnel on dashboards, analytical tools, and AI-assisted workflows; provide reference materials and ongoing support to promote responsible AI use
 * Independently review statistical estimates and machine-learning evaluations performed by team members, including population selection, assumptions, calculation logic, and interpretation