Software Engineer
- Cargill
- 3 - 8 years
- Bengaluru
- 4 months ago
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Job Description
- DATA COLLECTION ANALYSIS: Gathers, processes, prepares, and analyzes moderately complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
- REPORTING VISUALIZATION: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.
- STATISTICAL ANALYSIS: Supports statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
- PROCESS IMPROVEMENT: Implements found opportunities to improve data collection and reporting processes and applies standard methodologies for data management and reporting.
- COLLABORATION: Works closely with multi-functional teams to support data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to help ensuring data integrity and accuracy.
- DATA ANALYSIS: Conducts moderately complex data analyses to uncover trends, patterns, and actionable insights for decision making.
- QUALITY ASSURANCE DATA VALIDATION: Performs moderately complex reports and analyses in support of the accuracy, consistency, and security of data.
Qualifications
MINIMUM TYPICAL YEARS OF WORK EXPERIENCE
- Minimum requirement of 3 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
- Bachelor s degree in a related field or equivalent experience
- Proficiency with analytics and visualization tools such as Tableau, Power BI, SQL, Knime, or Python.
Job Classification
Industry: Food ProcessingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Database AnalystEmployement Type: Full timeContact Details:
Company: CargillLocation(s): Bengaluru+ View Contact
Keyskills: Data analysis Data validation Manager Quality Assurance Data management Process improvement Data collection data integrity Analytics SQL Python
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