.png){kind=logo}
Be an Early Applicant
Reimagining what's possible for food and agriculture
The Role
Collect, transform, and analyze data from multiple sources; build Power BI reports and dashboards; support data models, automation, and low-code workflows; validate data quality; and present actionable insights to stakeholders across the Food enterprise in Asia Pacific.
Summary Generated by Built In
Job Purpose and Impact
Key Accountabilities
Qualifications
- BAND DESCRIPTION
Established professional individual contributor. Works independently with general supervision. Problems faced are difficult (i.e. requires significant effort) but typically not complex (i.e. does not involve multiple layers and components to solve). May influence others within the job area through explanation of facts, policies, and
practices.
JOB SUMMARY
The Professional in Data Analytics & Reporting - Data Visualization is responsible for collecting, processing, analyzing complex datasets and building 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 the Food enterprise in Asia Pacific.
Key Accountabilities
- DATA ANALYSIS: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.
- REPORTING & VISUALIZATION: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.
- DATA MODELING & AUTOMATION: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.
- ADVANCED ANALYTICS AWARENESS: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.
- DATA QUALITY & REQUIREMENT SUPPORT: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.
Qualifications
- Bachelor's degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience. Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.
- Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.
- Very strong skills in Power BI and data visualization.
- Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modeling, and visualization.
- Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.
- Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.
- Familiarity with (predictive) analytics, AI/ML and data science.
- Business understanding and financial acumen to interpret data and generate practical insights.
- Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.
Skills Required
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics or equivalent practical experience
- Minimum of 3-4 years relevant work experience in data analytics, reporting, or business intelligence roles
- Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights
- Very strong skills in Power BI and data visualization
- Proficiency in SQL
- Proficiency in Excel and Power Query
- Experience with VBA or Python for analysis, modeling, and visualization
- Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS
- Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps
- Familiarity with predictive analytics, AI/ML, and data science concepts
- Business understanding and financial acumen to interpret data and generate practical insights
- Comfortable working in agile ways, managing multiple priorities, and collaborating independently and in teams
What the Team is Saying
Gaby
Data Engineering Lead
Landon
North America Service Assurance Manager
Navita
Software Engineering Senior Supervisor
.jpg)
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
.jpg)
Cargill Compensation & Benefits Highlights
-
Retirement Support — Cargill offers immediate 401(k) eligibility with a defined employer match, alongside additional vehicles such as an ESOP and company-supported tools for savings. Feedback suggests these features make long-term retirement readiness a strong part of the total package.
-
Leave & Time Off Breadth — Paid time off scales meaningfully with tenure on a clear annual cycle, and paid family leave covers both bonding with a new child and caregiving needs. Feedback suggests the combined PTO and leave programs compare favorably with common large-employer offerings.
-
Parental & Family Support — Adoption and surrogacy reimbursement, Bright Horizons childcare solutions, and Milk Stork complement the paid family leave program. These resources indicate a family-forward design that supports key life events and caregiving logistics.
Cargill Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
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.
Gallery
Cargill Teams
Cargill Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
