Consultant - Data Modeling at Accenture

Lisbon, Lisbon, Portugal

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

+2 years of experience working in data-focused roles such as Functional Consultant, Data Analyst, Data Modeler, or Business Analyst within enterprise environments
Experience in data modeling, including conceptual, logical, and physical models
Strong understanding of data architectures, data integration patterns, and modeling tools (e.g., ERwin, PowerDesigner, Enterprise Architect)
Proficiency in SQL, with the ability to analyze data structures, validate mappings, and support integration requirements
Experience performing requirements gathering, process analysis, and documentation with business and IT stakeholders
Ability to translate business needs into clear functional and data requirements for technical teams
Hands-on experience creating data mappings (source-to-target), data dictionaries, and metadata documentation
Familiarity with Data Governance principles
Experience participating in Agile/Scrum teams
Fluency in Portuguese, with advanced technical English

Responsibilities

Act as a bridge between business stakeholders and technical teams to ensure functional requirements and data needs are clearly understood and accurately implemented
Collect, analyze, and document business and data requirements across multiple domains
Work closely with the Data Architecture team to ensure functional alignment and adherence to enterprise data standards
Map business data elements to target data models and produce detailed source-to-target mapping documentation
Define and enforce data modeling standards, naming conventions, and best practices to ensure consistency and quality across the data platform
Support Data Governance initiatives, ensuring regulatory compliance, proper metadata management, and adherence to internal policies
Validate functional deliverables during development sprints and support QA/UAT cycles by reviewing test cases and validating outcomes
Create user stories, functional specifications, prototypes, and acceptance criteria to ensure traceability and clarity for development teams
Collaborate daily with data architects, business analysts, data engineers, and cross-functional technical teams
Produce and maintain comprehensive functional documentation and present solutions to stakeholders for review and approval

Skills

Key technologies and capabilities for this role

Data ModelingERwinPowerDesignerEnterprise ArchitectSQLData ArchitecturesData IntegrationData MappingsData DictionariesMetadataData GovernanceAgileScrumRequirements Gathering

Questions & Answers

Common questions about this position

What experience is required for the Consultant - Data Modeling role?

Candidates need +2 years of experience in data-focused roles such as Functional Consultant, Data Analyst, Data Modeler, or Business Analyst in enterprise environments, plus proficiency in data modeling (conceptual, logical, physical), SQL, data architectures, integration patterns, and modeling tools like ERwin or PowerDesigner.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What language skills are needed for this role?

Fluency in Portuguese and advanced technical English are required.

What makes a strong candidate for this Data Modeling Consultant position?

Strong candidates will have hands-on experience translating business needs into data requirements, creating data mappings and documentation, familiarity with Data Governance, and experience in Agile/Scrum teams, along with the ability to bridge business and technical teams.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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