Data Analyst at Cargill
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Data Analyst

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Job ID 206528 Date posted 11/24/2022 Location : Bengaluru, India

Job Purpose and Impact

The Data Analyst II will develop and provide significant business insights to help leaders make better decisions. With a good eye for business, you'll partner with internal stakeholders and help execute a business technology strategy that improves compliance, meets requirements and drives efficiencies through standardization and innovation. In this position, you'll demonstrate familiarity with business technology concepts, data management and decision support.

Key Accountabilities

  • Facilitate data extraction, collection, cleansing and preparation for consumption.
  • Drive reporting through the use of available technology (Tableau, Power BI, Alteryx, SAP) and develop technical solutions for an effective, efficient data analytics platform.
  • Respond to complex ad-hoc data requests.
  • Ensure timely and accurate data models that provide management information and analysis of function performance (key performance indicators, metrics).
  • Conduct analyses of performance variables, data management, measurement and analytics, data design principles, concept and practices.
  • Develop, with colleagues, detailed understanding of the business, and offer mentorship or technical solutions to solve business problems.
  • Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
  • Other duties as assigned


Minimum Qualifications

  • Bachelor's degree in a related field or equivalent experience
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Minimum of two years of related work experience
  • Other minimum qualifications may apply

Preferred Qualifications

  • Proficiency with reporting, data visualization, extract, transform and load, database management (SQL Server, Hadoop/Cloudera),
  • Background in continuous improvement
  • Knowledge of statistics and experience using statistical packages for analyzing datasets
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