Data Modeler

Deloitte
Rosslyn, VA Full Time
POSTED ON 3/2/2024 CLOSED ON 6/30/2024

What are the responsibilities and job description for the Data Modeler position at Deloitte?

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

Work you'll do

This includes validating current data sources, data elements, and document information and relationships in Cameo Systems Modeler. Data Modeler will be responsible for leading working sessions with SMEs to obtain data sources and elements and translating those inputs into the model along with the following tasks:
  • Ensure current (as-is) and future (to-be) state is fully documented inclusive of data exchanges, relationships data sources and attributes.
  • Model Evolution Assumptions/Constraints
  • Model Maintenance and sustainment in Cameo System Modeler
  • Merge data model with other ancillary/disparate but related models

The team

Deloitte's Government and 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.

The GPS AI & Data Engineering (AI&DE) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

Required:
  • Bachelor's degree required
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Active Secret security clearance required
  • 2 years experience in enterprise-wide systems, operational data modeling

Preferred Skills:
  • Experience in data/systems modeling in MBSE environment
  • Experience with Cameo Systems Modeler

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