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 in 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, innovative analytics strategies, developing and assessing agency models, and designing and implementing a variety of solutions that help clients address challenging business issues.
Our Deloitte Risk & Financial Advisory practice helps agencies effectively navigate risks and opportunities—from strategic, reputation, and financial risks to operational, cyber, and regulatory risks. We apply our experience in ongoing operations and lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance and disrupt through innovation.
Recruiting for this role will end in December 2024.
Work you’ll do
Deloitte Risk & Financial Advisory Analytics professionals are skilled at providing advice and recommendations to agencies in addition to developing and deploying leading technology and analytics-enabled solutions to solve their most pressing business challenges as it relates to risk and trust. Sample Intern responsibilities may include:
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, 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 fulfill those requirements.
- Assessing client’s 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.
Regardless of project type, your work may 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 in order help our clients understand their data and develop actionable solutions to manage it
- Ability to work with and managing 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 across 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
The team
Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Data can often hold the key to future growth opportunities for many complex agencies. GPS Deloitte Risk & Financial Advisory helps agencies navigate a variety of risks to lead in the marketplace and disrupt through innovation. The insights of our professionals, combined with our specialized products and services, help clients learn how to embrace complexity and leverage their position of strength to accelerate performance. Our Analytics professionals make extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to bring insights to client issues in the financial, regulatory, forensic and transaction domains. What’s more, they are able to deploy their skillsets to help empower our clients across a variety of industries and business functions. Learn more about our team at Deloitte.
Qualifications
Required:
- Pursuing a Bachelor 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 time of employment
- Must live within a commutable distance to your assigned office (e.g. 100 mile radius) with the ability to commute daily, if required, upon start date
Preferred:
- 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
- Oracle
- IBM
- Plans to achieve a professional certification that will accelerate your ability to deliver impact to our clients2
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