
Multinational food company.
Consultant, Data Analytics & Reporting - Ag & Trading
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
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Have a Bachelor's degree with minimum requirement of 4 years of relevant work experience.
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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.
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Advanced BI Development:
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Must-have expertise in Power BI, including DAX (Data Analysis Expressions) for complex measures and calculations.
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Ability to design and implement data models, create interactive dashboards, and optimize performance for large datasets.
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Data Modeling & Architecture: Strong understanding of relational and dimensional modeling, star/snowflake schemas, and data architecture principles.
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SQL Proficiency: Advanced skills in writing complex SQL queries for data extraction, transformation, and validation.
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Application Support: Ability to support and maintain existing business applications, troubleshoot issues, and coordinate fixes with technical teams.
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Analytical & Problem-Solving: Skilled in interpreting large datasets, identifying trends, and delivering actionable insights.
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Stakeholder Management: Excellent communication skills to collaborate with traders, supply chain managers, IT teams, and leadership.
Preferred Skills
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- 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.
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关于Cargill

Cargill
PublicMultinational food company.
10,001+
员工数
Minnetonka
总部位置
$134B
企业估值
评价
10条评价
3.3
10条评价
工作生活平衡
3.5
薪酬
3.2
企业文化
3.8
职业发展
3.5
管理层
2.8
65%
推荐率
优点
Good corporate culture and team environment
Good benefits and compensation
Safety emphasis and good work environment
缺点
Management issues and high turnover
Non-competitive salary
High stress and overwhelming expectations
薪资范围
268个数据点
Junior/L3
L2
L6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Business Analyst
0份报告
$108,285
年薪总额
基本工资
-
股票
-
奖金
-
$92,042
$124,528
面试评价
2条评价
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
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