- Location
- Bengaluru, BDC11A, India
- Type
- Full-time
- Experience
- 5+ years
- Source
- Workday
Description
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 : Big Query, SQL
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Modeler, a typical day involves collaborating closely with key business representatives, data owners, end users, application designers, and data architects to understand and analyze data requirements. The role focuses on designing and refining data models that accurately represent both current and future business needs. This includes continuous interaction with various stakeholders to ensure that data structures support organizational goals effectively, while adapting to evolving project demands and technological advancements. The position requires balancing multiple perspectives to create comprehensive and scalable data solutions that facilitate seamless data integration and accessibility across the enterprise.
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 alignment with business objectives and technical requirements.
- Facilitate communication between technical teams and business stakeholders to translate complex data needs into effective data architecture.
- Mentor junior team members by providing guidance on best practices and methodologies in data modeling.
- Continuously evaluate and improve data modeling processes to enhance efficiency and accuracy.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of relational and dimensional data modeling concepts.
- Experience with data warehousing and database design principles.
- Ability to analyze and document data requirements from diverse business units.
- Familiarity with data governance and metadata management practices.
- Skilled in using data modeling tools and software to create logical and physical data models.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Bengaluru office.
- 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.