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Data Modeler

Accenture · sinnerschrader.ag
KolkataSenior8+ yrs
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The job in short

Data modeling.

Details

Found
22 d ago · posted 2026-10-15
Location
Kolkata

Full description

Project Role : Data Modeler Project Role Description : Work with key business representatives, data owners, end users, application designers and data architects to model current and new data. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Modeler, a typical day involves engaging closely with various stakeholders including business representatives, data owners, end users, application designers, and data architects. The role focuses on understanding existing data structures and designing new data models that align with business needs and technical requirements. This position requires continuous collaboration to ensure data models are accurate, efficient, and support the organization s objectives. The Data Modeler plays a vital role in bridging the gap between business goals and technical implementation by translating complex data requirements into structured models that facilitate effective data management and utilization. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the development and maintenance of data models to ensure consistency and quality across projects. - Facilitate communication between technical teams and business stakeholders to align data strategies with organizational goals. - Mentor junior team members by sharing knowledge and best practices in data modeling. - Continuously evaluate and improve data modeling processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies. - Strong analytical skills to interpret complex data requirements and translate them into effective data models. - Experience with database design principles and relational database management systems. - Ability to work with data architecture frameworks and understand data governance standards. - Familiarity with data integration and data warehousing concepts to support comprehensive data solutions. - Excellent problem-solving skills to address data-related challenges and optimize data structures. Additional Information: - The candidate should have minimum 8 years of experience in Data Modeling Techniques and Methodologies. - This position is based at our KDC1A - SEZ location. - A 15 years full time education is required. 15 years full time education About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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