Cargill Jobs

Senior Consultant, Data & Analytics Reporting

Cargill

Senior Consultant, Data & Analytics Reporting

Posted Yesterday

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Bengaluru, Bengaluru Urban, Karnataka, IND

In-Office

Senior level

Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial

Reimagining what's possible for food and agriculture

The Role

Build and operate trusted data products and pipelines for commodity markets, trading, supply chain, risk, logistics, and commercial analytics. Partner with business and technical teams to define requirements, investigate data, create reusable analytical datasets, implement quality controls, perform analysis, and deliver production-ready solutions. Responsibilities include SQL and Python development, cloud data integration, data modeling, testing, monitoring, documentation, and translating complex data into actionable business insights.

Summary Generated by Built In

Job Purpose and Impact
We are looking for a Senior Consultant, Data Analytics & Reporting who combines strong technical delivery with analytical curiosity and a desire to understand how markets and the business work. You will turn business questions and fragmented source data into trusted, reusable data products that help Cargill teams understand commodity balances, interpret prices and order flows, assess exposures, and improve commercial and supply-chain decisions.
You will work directly with business users, analysts, source-system owners and product teams to understand requirements, investigate data, build and operate pipelines, and validate that the resulting information is meaningful and fit for use. Your ownership will extend from initial discovery through support production delivery and ongoing improvement.
You will work across the following data and business areas, partnering with DT&D, TDA and Ag & Trading teams to build data products, develop analyses and connect insights across the business.

Commodity supply, demand and trade flows
Market prices
Cash Order Flow Analytics (OFA), origination and customer demand
Trading risk and positions
Commercial performance and margins
Inventory, logistics and contract execution
Vessels and freight
Crop supply and weather
Geospatial analytics
Sustainability and traceability.

Key Accountabilities

Understand the business question. Engage with Trading, Market Analysis, Origination, Commercial Operations, Supply Chain, Risk, and Product teams to define data requirements and enable informed business decisions.
Investigate and understand data.Identify and assess relevant data sources to understand their availability, quality, and limitations before designing effective solutions.
Build dependable data flows. Develop and maintain data pipelines using SQL, Python, and cloud data services to integrate data from multiple sources with reliable monitoring and error handling.
Create resuable analytical datasets. Design and maintain standardized data models and documented datasets that align business definitions and support diverse analytical use cases.
Own data quality by implementing automated checks, resolving discrepancies, and ensuring data accuracy, transparency, and alignment with business expectations.
Apply analytical judgement. Explore trends, test hypotheses, and translate complex data into clear business insights through focused analysis and visualization.
Deliver and support production-ready data solutions through version control, testing, deployment, performance monitoring, and clear documentation.
Collaborate across DT&D and the business. Work with Product Managers, TDA Analysts, Ag & Trading business experts, Data Scientists, Engineers, and Governance Specialists to deliver scalable data solutions and drive meaningful business outcomes.
Build a strong understanding of Trading and Supply Chain workflows, challenge assumptions constructively, and take ownership of data products that drive business impact across functions.

Qualifications

Have a Bachelor's degree with minimum 9 years of professional work experience.
Demonstrated hands-on experience partnering with data engineers to build data products.
Strong SQL skills, including joins, aggregation, window functions, data validation and query troubleshooting.
Practical Python skills for data exploration, transformation, automation and integration.
Experience with a cloud data warehouse or lakehouse, and an understanding of relational and analytical data modelling.
Ability to profile unfamiliar data, investigate anomalies and explain how data definitions affect an analysis.
Experience with Git, code review, automated testing and repeatable delivery practices.
Ability to work directly with stakeholders, ask precise questions and communicate technical findings clearly.
Ability to use GenAI tools effectively and responsibly to improve productivity in data engineering, analysis and documentation, while validating outputs, protecting sensitive information and adapting working practices as AI capabilities evolve.
Evidence of taking a problem from discovery to a working, validated solution, while identifying dependencies and seeking specialist help when needed.
Curiosity about commercial processes and a willingness to build domain knowledge through practical work.

Skills Required

Bachelor’s degree
Minimum 9 years of professional work experience
Hands-on experience partnering with data engineers to build data products
Strong SQL skills, including joins, aggregation, window functions, data validation, and query troubleshooting
Practical Python skills for data exploration, transformation, automation, and integration
Experience with a cloud data warehouse or lakehouse
Understanding of relational and analytical data modeling
Ability to profile unfamiliar data, investigate anomalies, and explain data-definition impacts
Experience with Git, code review, automated testing, and repeatable delivery practices
Ability to work directly with stakeholders and communicate technical findings clearly
Ability to use GenAI tools effectively and responsibly for data engineering, analysis, and documentation
Experience taking problems from discovery through a working, validated solution
Curiosity about commercial processes and willingness to build domain knowledge

What the Team is Saying

Cargill Compensation & Benefits Highlights

Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision options, with broad networks, mental-health/EAP resources, and wellness incentives. Feedback suggests plan choice and advocacy resources provide strong support for navigating care.
Retirement Support — Retirement programs feature a 401(k) with company matching alongside an ESOP and an additional retirement account. Feedback suggests these elements are widely regarded as a strong long‑term value.
Leave & Time Off Breadth — The published PTO structure scales from 15 to 30 days with tenure, alongside paid holidays and paid family leave. Feedback suggests the breadth of time off supports work‑life needs, especially for longer‑tenured employees.

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The Company

HQ: Wayzata, MN

155,000 Employees

Year Founded: 1865

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.