.png)
.png){kind=logo}
Collects, processes, and analyzes moderately complex datasets to generate insights, builds automated reports and dashboards, performs statistical analysis, validates data quality, and partners with cross-functional teams to support trading and supply chain decision-making.
Job Purpose and Impact
The Consultant, 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
Qualifications
Preferred Skills
The Consultant, 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
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
- Business Analysis & Data Expertise: Proven experience as a Business Analyst with exposure to data analytics in trading or supply chain domains, including requirements gathering and translating business needs into technical specifications.
- Data Modeling & Architecture: Solid understanding of data modeling concepts, relational structures, and data architecture principles for analytics and reporting.
- SQL Proficiency: Advanced skills in writing complex SQL queries for data extraction, transformation, and validation.
- Analytical & Problem-Solving: Ability to interpret large datasets, identify trends, and provide actionable insights with attention to detail.
- Stakeholder Management: Excellent communication skills to collaborate with traders, supply chain managers, IT teams, and leadership effectively.
- Application Support: Ability to support and maintain existing business applications, including troubleshooting issues, coordinating fixes with technical teams, and ensuring minimal disruption to operations.
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.
Similar Jobs at Cargill
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Leads complex manufacturing data and analytics requirements for Smart Manufacturing initiatives. Defines reporting solutions, analyzes data, translates business needs into scalable analytics capabilities, and partners with development, data engineering, IT, and OT teams. Manages stakeholders, supports solution delivery and testing, validates data quality, and coaches teams on analytics consumption. Requires an engineering degree, eight years of relevant experience, manufacturing IT consulting expertise, ISA-95 and S-88 knowledge, Agile experience, and exposure to machine learning or AI implementation.
Top Skills:
AgileArtificial IntelligenceData AnalyticsIsa-95Machine LearningManufacturing ItMes/MomReportingS-88Smart Manufacturing
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Maintains, configures, integrates, tests, deploys, and supports procurement applications. Works with SAP Ariba and related middleware, evaluates AI-driven automation opportunities, manages incidents and user requests, supports Agile backlog and requirements activities, and collaborates with developers, product managers, business stakeholders, and software vendors.
Top Skills:
AgileAi/MlBhoomiSAPSap Ariba Catalog ContentSap Ariba ClmSap Ariba Guided BuyingSap Ariba SlpSap Ariba SourcingSap BtpSap CigSap CpiServicenow
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Builds, configures, integrates, tests, deploys, and supports SAP FICO applications. The role manages complex application configurations, software releases, incident prioritization, user support, quality assurance, and vendor relationships. It partners with developers, product managers, and business stakeholders to align SAP solutions with business requirements and project standards.
Top Skills:
Sap FicoSap Landscape
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
