Data Modeler

Posted:
9/15/2024, 9:32:35 PM

Location(s):
Tamil Nadu, India ⋅ Coimbatore, Tamil Nadu, India

Experience Level(s):
Expert or higher

Field(s):
AI & Machine Learning ⋅ Data & Analytics

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 : Python (Programming Language)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Modeler, you will work with key business representatives, data owners, end users, application designers, and data architects to model current and new data. You will play a crucial role in ensuring data integrity and accuracy, as well as optimizing data structures for efficient data retrieval and analysis. Your typical day will involve collaborating with cross-functional teams, analyzing data requirements, designing data models, and implementing data solutions. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work-related problems. - Collaborate with business representatives, data owners, end users, application designers, and data architects to understand data requirements. - Design and develop data models that meet business needs and ensure data integrity and accuracy. - Optimize data structures for efficient data retrieval and analysis. - Implement data solutions and ensure seamless integration with existing systems. - Perform data analysis and identify opportunities for data quality improvement. - Stay updated with industry trends and best practices in data modeling and database design. - Provide guidance and support to junior team members in data modeling and database design. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Python (Programming Language). - 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 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

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