Analytics and Insights Engineer II
About The Position
Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. As an Analytics and Insights Engineer II on the AI & Data team, you will be responsible for… Design, develop, test, and maintain analytics workflows, data pipelines, and data transformation processes using Python and modern data engineering practices Apply algorithms, data structures, probability, and statistics to develop analytical solutions that support client decision-making and mission outcomes Build and support data models, analytical outputs, and technical deliverables using structured, documented development approaches Present technical concepts, findings, and solution updates to non-technical stakeholders and client teams in an onsite environment Document code, workflows, assumptions, and technical designs to support delivery, sustainment, and knowledge transfer
Requirements
- 3+ years of experience with Python and Scientific Python Stack tools, including NumPy and Pandas
- 3+ years of experience applying algorithms, data structures, probability, and statistics in analytics, engineering, or software solutions
- 3+ years of experience creating technical documentation and presenting technical information to non-technical stakeholders
- Active Secret security clearance
- Ability to work 100% onsite at the client site
- Ability to travel 0-10%, 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.
Nice To Haves
- Experience with WDP Databricks, including PySpark and Spark SQL
- Experience with development practices such as unit testing, GitFlow workflow, and docstrings
- Experience with parallelization techniques such as multiprocessing and vectorization
- Experience with modeling and simulation approaches such as system dynamics and discrete event simulation
- Experience supporting Department of Defense (DoD) clients or military readiness programs
Responsibilities
- Design, develop, test, and maintain analytics workflows, data pipelines, and data transformation processes using Python and modern data engineering practices
- Apply algorithms, data structures, probability, and statistics to develop analytical solutions that support client decision-making and mission outcomes
- Build and support data models, analytical outputs, and technical deliverables using structured, documented development approaches
- Present technical concepts, findings, and solution updates to non-technical stakeholders and client teams in an onsite environment
- Document code, workflows, assumptions, and technical designs to support delivery, sustainment, and knowledge transfer
Benefits
- Discretionary annual incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
