As part of Data & AI, you will lead cloud and technology transformations for our clients through robust delivery of world-class solutions. There will never be a typical day and that's why people love it here. The opportunities to make a difference in exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology, data, and AI experts, who are taking on today's biggest, most complex business challenges using the latest cloud, data, and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Science and Engineering covering all aspects of Data & AI including Data Management and Governance, Cloud Architecture and Migration, and Automation. Come grow your career in Technology at Accenture in Data & AI!
A Data Modeler will be responsible for creating and maintaining conceptual, logical and physical data models and will be creating one or more data models depending on use cases including transactional, integration, data warehouse and analytical systems.

• Data modeler will have to work with the business team, comprising of stakeholders and analysts, and information technologists to understand data requirements for the program.
• Perform data profiling/analysis activities that will help establish, modify and maintain a data model.
• Create conceptual data model to identify key business entities and visualize their relationships.
• Create detailed logical models identifying all the entities, attributes and their relationships along with the characteristics associated with each of those.
• Convert logical models to physical models for the databases in use and provide DDLs to the implementation teams.
• Create a taxonomy/data dictionary to communicate data requirements that are important to business stakeholders.
• Test the DDLs and ensure the models are deployed to all environments and are consistent.
• Lead and participate in design workshops to facilitate an understanding of business data needs and how they are mapped to the data model.
• Facilitate resolution of model conflicts created by competing business requirements.
• Partition data models into landing, integration, data mart, and reporting layers. Support review, signoff and adoption of data models in collaboration with global businesses, architecture and delivery teams.
• Articulating modelling principles to other modelers and business users.

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Qualifications

What you need:
• 2 years of experience with Entity Relationship Models, Star Schema, Dimensional Modeling, and other Data Modeling Techniques and Methodologies
• 2 years of Experienced in Data Modeling tools such as ERWin.
• Bachelor's Degree or Associate's Degree with 6 years of work experience or equivalent work experience of 12 years
Bonus points if you have:
• Proven success in contributing to a team-oriented environment
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent leadership, communication (written and oral) and interpersonal skills

As required by theColorado Equal Pay Transparency Act, Accenture provides a reasonable range of minimum compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only , the range of starting pay for this role is $72,400 - $114,499 and information on benefits offered is here.

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We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

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Locations
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