Cargill is Hiring for Fresher | Any Graduates | 0 - 2 yrs | USA careerforfreshers

Cargill is Hiring for entry level | Analyst | Any Graduates or equivalent experience | India | Apply Now

Cargill, Incorporated is an American privately held global corporation based in Minnetonka, Minnesota, and incorporated in Wilmington, Delaware. Founded in 1865, it is the largest privately held corporation in the United States in terms of revenue.

Data Science Analyst

As a Data Science Analyst, you will be part of a team to analyze and discover value through data and data science techniques that drive value for Cargill. In this role, you will collect, analyze, visualize and tell stories with data using statistical concepts/techniques. We seek a professional to handle the development, creation and documentation of our platform level human resources reporting and metrics that provide consistent and clear communication of data and trends, including demographics, compensation decisions, talent management and recruiting, engagement, and affirmative action processes.

Job Description:
Perform data analysis independently to conduct complex analysis requiring a deep understanding of performance variables, data management, measurement and/or analytics, data design principles, concept and practices.
Translate business questions and problems into structured analyses, building standardized dashboards and reports to meet business requirements while maintaining a focus on efficiency and repeatability.
Draw conclusions and effectively present analysis findings to business leaders to recommend and influence the direction of the business.

Bachelor’s degree in a related field or equivalent experience
Advanced programming skills
Strong operational and analytical skills
Strong presentation and data visualization skills
Strong communication skills, both verbal and written
Ability to influence others to accept new ideas or concepts
Strong decision-making and problem-solving skills

Minimum two years of directly related work experience
Experience in statistics, decision science or similar field.
Experience leading integrated design validation sessions and confirming business requirements
Experience with statistical modeling
Experience with predictive analytical modeling
Work experiences across multiple lines of businesses

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