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Reimagining what's possible for food and agriculture
The Role
Collects, processes, and analyzes complex datasets; builds automated reports and dashboards; applies analytics and AI/ML techniques; automates data workflows and low-code apps; ensures data quality; partners with stakeholders and engineering teams to deliver actionable insights across the Asia Pacific region.
Summary Generated by Built In
Job Purpose and Impact
The Data & Analytics Consultant is responsible for collecting, processing, and analyzing complex datasets and builds detailed reports and dashboards using specific data tools to generate actionable insights. This job is critical for the effective provisioning of data, analytics, models, solutions, findings and presentation of insights to business stakeholders to meet business objectives across Asia Pacific.
Key Accountabilities
Qualifications
The Data & Analytics Consultant is responsible for collecting, processing, and analyzing complex datasets and builds detailed reports and dashboards using specific data tools to generate actionable insights. This job is critical for the effective provisioning of data, analytics, models, solutions, findings and presentation of insights to business stakeholders to meet business objectives across Asia Pacific.
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.
- DATA / STATISTICAL ANALYSIS: Conducts moderately complex data analysis to uncover trends, patterns, and actionable insights for decision-making. Supports statistical analysis execution to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
- REPORTING & VISUALIZATION: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.
- ANALYTICS, AI / ML AND DATA SCIENCE: Application of analytics and data science-driven techniques, and hands-on delivery of AI/ML-driven analytical models and solutions
- PROCESS IMPROVEMENT: Implements found opportunities to improve data collection and reporting processes, deliver automation solutions and applies standard methodologies for data management and reporting.
- COLLABORATION: Works closely with multi-functional teams to support data needs, identifies value-creation opportunities, solves data problems and delivers solutions in partnership with business stakeholders, project working teams, digital technology and data engineering teams.
- QUALITY ASSURANCE & DATA VALIDATION: Performs moderately complex analysis in support of the completeness, consistency, accuracy, and security of data. Understands and monitors the transaction and master data lifecycle, and proactively manages data quality.
Qualifications
- Bachelor's degree in a related field (e.g. Data Science, Statistics, Computer Science, Business Analytics) or equivalent experience.
- Minimum of four years of relevant work experience.
- Confirmed skills of analyzing data content for reporting or analytics solutions.
- Proficiency in data manipulation / programming languages such as Python, SQL, VBA, and applications such as MS Excel and Power BI to analyze, model, visualize and communicate data insights.
- Strong understanding of data warehousing, data lakes, cloud data platforms (e.g. AWS, Snowflake) and related big data technologies.
- Able to automate data (transformation) workflows and build low-code applications leveraging the Power Platform (Power Automate, Power Apps, Power Query).
- Familiarity with (predictive) analytics, AI/ML and data science.
- Solid business understanding and financial acumen to draw accurate insights and use information as a strategic value-creation tool.
- Excellent communication and stakeholder management skills.
- Comfortable with agile workflow management and able to manage multiple priorities simultaneously.
Skills Required
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics or equivalent experience
- Minimum of four years of relevant work experience
- Experience analyzing data content for reporting or analytics solutions
- Proficiency in Python, SQL, VBA, Microsoft Excel and Power BI
- Understanding of data warehousing, data lakes, cloud data platforms and big data technologies (e.g., AWS, Snowflake)
- Ability to automate data transformation workflows and build low-code applications using Power Platform (Power Automate, Power Apps, Power Query)
- Familiarity with predictive analytics, AI/ML and data science
- Solid business understanding and financial acumen
- Excellent communication and stakeholder management skills
- Comfortable with agile workflow management and managing multiple priorities
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
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William Orgertrice
Data Engineer
Kayode D.
Principal Data Engineer
Patricia
Supply Chain Learning & Development and Digital Support Lead
Heather W.
Software Engineer
Kristen K.
Factory of the Future Digital Product Manager
Shrey B.
Senior Software Engineer
Madhuri P.
Senior Data Scientist
William Orgertrice
Data Engineer — Data Function, Platforms and Product Engineering
Navita S.
Software Engineering Senior Supervisor
Heather W.
Software Engineer
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Cargill Compensation & Benefits Highlights
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Retirement Support — Two-layer retirement program combines a 401(k) match (100% on the first 3%, 50% on the next 2%) with an employer-funded Employee Retirement Account of roughly 2.5–7% based on age and service. Match is delivered quarterly in company stock and the ERA adds long-term value through additional employer contributions.
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Leave & Time Off Breadth — PTO starts at 15 days and scales to 30 days with tenure, governed by a clear June 1–May 31 cycle. This structured ladder provides predictable time away as service grows.
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Parental & Family Support — Paid family leave offers up to 6 weeks to bond with a new child and 4 weeks to care for a family member or qualifying military needs. Additional supports such as Bright Horizons childcare solutions and Milk Stork reinforce family care.
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The Company
What We Do
We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.
Why Work With Us
The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.
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Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
