Consultant, Data Analytics & Reporting - Ag & Trading

Cargill

4.1

(42)

Bengaluru, India

Why you should apply for a job to Cargill:

4.1/5 in overall job satisfaction

4.5/5 in supportive management

71% say women are treated fairly and equally to men

71% would recommend this company to other women

79% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members.

Cargill partners with Milk Stork; a service that provides no-fuss, refrigerated, express shipping or easy toting of breast milk

All employees have access to Bright Horizons for child, pets, and eldercare resources. Including free Sittercity memberships & discounts

Our 401(k) offers immediate eligibility & matching contributions of 100% on the first 3% you contribute, then 50% on the next 2%

#322459

Position summary

ous 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 requirement of 4 years of relevant work experience.
Business Analysis & BI Expertise: Proven experience as a Business Analyst with strong exposure to data analytics and Business Intelligence (BI) in trading or supply chain domains.
- Advanced BI Development:
  - Must-have expertise in Power BI, including DAX (Data Analysis Expressions) for complex measures and calculations.
  - Ability to design and implement data models, create interactive dashboards, and optimize performance for large datasets.
- Data Modeling & Architecture: Strong understanding of relational and dimensional modeling, star/snowflake schemas, and data architecture principles.
- SQL Proficiency: Advanced skills in writing complex SQL queries for data extraction, transformation, and validation.
- Application Support: Ability to support and maintain existing business applications, troubleshoot issues, and coordinate fixes with technical teams.
- Analytical & Problem-Solving: Skilled in interpreting large datasets, identifying trends, and delivering actionable insights.
- Stakeholder Management: Excellent communication skills to collaborate with traders, supply chain managers, IT teams, and leadership.
Preferred Skills
- - Knowledge of commodity markets, supply chain processes, and risk management principles. (Good to have).
  - Proficiency in Power BI.
  - Experience with ERP systems (SAP) and trading platforms.
  - Knowledge of regulatory compliance in commodity trading.