Data Modeler at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 5 years of experience in Microsoft Power Business Intelligence (BI) and exposure to Microsoft Fabric
Proficiency in Microsoft Power Business Intelligence (BI) and Microsoft Fabric
Strong understanding of data modeling concepts and techniques
Experience with data integration and ETL processes
Familiarity with database management systems and SQL
Ability to translate business requirements into technical specifications
15 years full time education

Responsibilities

Work with key business representatives, data owners, end users, application designers, and data architects to model current and new data
Collaborate with stakeholders to understand data needs, analyze existing data structures, and design effective data models supporting business objectives
Ensure data models align with best practices and organizational requirements for seamless data integration and accessibility
Act as a Subject Matter Expert (SME)
Collaborate and manage the team to perform tasks
Take responsibility for team decisions
Engage with multiple teams and contribute to key decisions
Provide solutions to problems for the immediate team and across multiple teams
Facilitate training sessions for junior team members to enhance their understanding of data modeling
Continuously evaluate and improve data modeling processes for efficiency and effectiveness

Skills

Data Modeling

Microsoft Power BI

Power BI

Data Architecture

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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