Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Consultant, Data and Analytics (Data Engineer) @ Cargill

Home > Data Science & Analytics - Other

 Consultant, Data and Analytics (Data Engineer)

Job Description

Job Purpose and Impact
  • The Professional, Data Analytics Reporting job is responsible for collecting, processing, and analyzing moderately complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With limited supervision, this job collaborates with cross functional teams to ensure data accuracy and integrity performing data and statistical analysis using various programming languages. This job supports the effective presentation of data findings to partners to meet business objectives.
Key Accountabilities
  • 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
  • Have a Bachelor''s degree with minimum 4 years of professional experience.
  • Have 4 years of experience in Data Engineering, including building and maintaining data pipelines.
  • Have strong proficiency in SQL
  • Hands-on experience in Python.
  • Solid experience in data modelling.

Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Cargill
Location(s): Bengaluru

+ View Contactajax loader


Keyskills:   Data Engineer Data Validation Data Engineering Data Pipelines Data Management Programming Process Improvement Data Collection Analytics Sql Data Analysis Data Analytics Quality Assurance Statistical Analysis Python

 Fraud Alert to job seekers!

₹ Not Disclosed

Cargill

Cargill Business Services India Private Limited Cargill Business Services (CBS) provides high-quality shared services to Cargill. Since its inception in January 2015, CBS in India has grown steadily to establish itself as a global multi-function shared services hub providing services across mult...

Job Listings