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Cargill

Consultant, Data Analytics & Reporting - Ag & Trading

Job Posted 5 Days Ago Posted 5 Days Ago
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In-Office
Bengaluru, Karnataka
Senior level
In-Office
Bengaluru, Karnataka
Senior level
The consultant will analyze data to provide insights, create reports and dashboards, and improve data processes while collaborating with teams.
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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 build detailed reports and dashboards using specific 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. The role includes identifying data patterns, conducting exploratory and confirmatory analysis, managing large datasets, and delivering insights that support business planning, process improvement, and solution assessment.
Key Accountabilities
  • DATA COLLECTION & ANALYSIS: Identify data patterns, analyze results, and provide insights using statistical techniques. Acquire data from primary or secondary sources and maintain databases/data systems. Handle data at scale using Big Data frameworks, cloud, and storage solutions. Conduct exploratory, confirmatory, and qualitative analysis to support business decisions.
  • REPORTING & VISUALIZATION: Design and develop ad hoc reports, and dashboards using tools such as Power BI. Present data insights effectively to various stakeholders to facilitate data-driven decision-making.
  • PROCESS IMPROVEMENT: Identify and implement opportunities to improve data collection and reporting processes. Apply standard methodologies for data management and reporting.
  • COLLABORATION: Work closely with cross-functional teams and business SMEs to understand data needs and deliver solutions. Communicate effectively and demonstrate a willingness to learn business aspects for broader engagement.
  • DATA ANALYSIS: Conduct moderately complex data analyses to uncover trends, patterns, and actionable insights. Develop business insights based on analysis results and support hypothesis-driven exploration.
  • QUALITY ASSURANCE & DATA VALIDATION: Perform validation and quality assurance on reports and analyses to ensure accuracy, consistency, and security of data. Address data quality issues and ensure reliable data for analysis.

Qualifications
  • Minimum requirement of 5-8 years of relevant work experience.

Top Skills

Big Data Frameworks
Cloud Solutions
Data Analysis
Power BI
Statistical Techniques

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