Government & Public Services Risk & Financial Advisory - Analytics Internship (May 2025)

Your role

Position Summary:

Ready for an exciting, fast-paced career? Have a passion for digging into data, models and predictive analytics, drawing conclusions, and developing recommendations? As an Analytics Intern at Deloitte Risk & Financial Advisory, you’ll have the opportunity to gain valuable hands-on experience working alongside leading professionals while building your professional skills in a variety of analytical techniques and skills. You’ll be involved in developing data analysis plans, and innovative analytics strategies, developing and assessing agency models, and designing and implementing a variety of solutions that help clients address challenging business issues.

Their Deloitte Risk & Financial Advisory practice helps agencies effectively navigate risks and opportunities from strategic, reputation, and financial risks to operational, cyber, and regulatory risks. They apply their experience in ongoing operations and lifecycle events to help clients become stronger and more resilient. Their market-leading teams help clients embrace complexity to accelerate performance and disrupt through innovation.

About the team:

Deloitte’s Government and Public Services (GPS) practice their people, ideas, technology, and outcomes - is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, their team of over 15,000 professionals brings fresh perspectives to help clients anticipate disruption, reimagine possibilities, and fulfil their mission promises. GPS Deloitte Risk & Financial Advisory helps agencies navigate a variety of risks to lead in the marketplace and disrupt through innovation, using data, statistical analysis, and predictive modelling to provide insights in financial, regulatory, forensic, and transaction domains.

Work you’ll do:

Developing Analytics Solutions

• Designing, building, and testing quantitative and AI/ML-based models across a broad range of business areas, for example: ESG, digital assets, and blockchain, and predicting when risk events (such as fraud) have occurred and the associated organizational impact.
• Defining and calculating key operations and data risk indicator metrics to help agencies monitor the health and resiliency of their business and data.
• Performing data-driven tests and reconciliations to evaluate compliance with regulatory and financial reporting requirements.
• Delivering actionable insights using data visualization and operational efficiency through the use of intelligent automation.

Assessing Client's Data & Analytics Capability And Providing Strategic Advice & Recommendations

• Helping agencies understand their business and data requirements and developing data sourcing and architecture strategies to fulfil those requirements.
• Assessing clients’ current state regarding their data infrastructure and use of digital technologies (such as analytics); and providing strategic advice and recommendations on how to scale and deliver increased impact with optimal design, architecture, and governance while mitigating data risks.

About you

Required Qualifications: 

• Pursuing a Bachelor’s or Master’s degree in one or more of the following majors with relevant analytics or data management-focused coursework desired:
  • Technology: Data Analytics, Computer Science, Management Information Systems
  • Business: Economics, Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
  • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics.
• Strong academic track record (minimum cumulative GPA of 2.8)
• Ability to travel up to 50%, 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.
• Must be able to obtain a U.S. Security Clearance.
• Must be at least 18 years of age at the time of employment.

Preferred Qualifications: 

• Strong academic track record (minimum cumulative GPA of 3.2).
• Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs).
• Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
• Foundational capabilities:
  • Scripting languages: SQL, Python, HTML, VBA, SAS, R
  • Data Visualization Tools: Tableau, Power BI, QlikView
  • Data Management: Microsoft SQL Server, Oracle, Mongo DB
• Experience in one of the following specializations:
• Advanced analytics specialists:
  • Predictive analytics & data mining
  • Machine learning & cognitive
  • Big Data Tools: Hadoop, Hive, Pig, Impala, Mahout
  • Financial Tools (e.g. NumeriX, Bloomberg, FinCad, Monte Carlo simulation tools)
• Reporting specialists:
• Business Objects, Reporting Services
• Advanced visualization design capabilities
• App development specialists:
  • HTML, Java, JavaScript, etc.
• Cloud knowledge and capabilities
  • AWS
  • Azure
  • Google
  • Oracle
  • IBM
• Plans to achieve a professional certification that will accelerate your ability to deliver impact to their clients

Regardless of project type, your work will require:

• Proficiency in scripting languages and data visualization platforms.
• Proficiency in verbal and written communication skills essential to interacting with clients and teams.
• Ability to work independently and manage multiple projects/assignments/ responsibilities in a fast-paced environment.
• Understanding of the data lifecycle and solutions development lifecycle to help their clients understand their data and develop actionable solutions to manage it.
• Ability to work with and manage data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics.
• Problem-solving and critical thinking skills.
• Ability to quickly and concisely research and collect data from unique places.
• Ability to synthesize data and convey information in a meaningful way.
• Ability to collaborate and communicate with Deloitte team members and client stakeholders.
• Ability to identify, learn, understand, and implement new analytics concepts and data management frameworks.
• Ability to manage own personal and professional development; seek opportunities for professional growth and expansion of consulting skills and experience.

Benefits

If you join as a full-time employee, you will get the following benefits:

• Empowered Well-being Resources and Sessions
• Work Well App
• Paid Time Off (PTO), Leaves, and Holidays
• Flexible and Virtual Work Arrangements
• Workload Reduction Program
• Retirals (Provident Fund and Gratuity)
• Insurance (Life, Accident, and Personal Identity Theft Cyber Safe)
• Remembrance Fund
• Employee Discount Program
• Medical Insurance, etc.
• Experience exponential growth, mentorship, and learning opportunities in your career at Deloitte—hear directly from their professionals.

Training & development

From entry-level employees to senior leaders, they believe there’s always room to learn. They offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, their professionals have a variety of opportunities to continue to grow throughout their careers.

Career progression

Interns would join one of their business functions (Audit & Assurance, Consulting, Risk & Financial Advisory, Tax), and the internship may result in a full-time offer.

Sources

The following sources were used in researching this page:

• deloitte.com/ui/en/pages/careers/articles/life-at-Deloitte-benefits-and-rewards.html
• youtube.com/@DeloitteUS
• www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-advanced-degree-opportunities.html