Job Purpose and Impact- The Senior Professional, Data & Analytics Reporting job is responsible for collecting, processing, and analyzing complex datasets to generate actionable insights and builds detailed reports and dashboards using specifics tools. With minimal 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 plays a key role in effectively presenting data findings to partners to meet business objectives.
Key Accountabilities- DATA COLLECTION & ANALYSIS: Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
- STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partner's relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
- REPORTING & VISUALIZATION: Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
- STATISTICAL ANALYSIS: Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
- PROCESS IMPROVEMENT: Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
- COLLABORATION: Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
- LITERACY: Coaches and advises to mature data consumption and analytics capabilities.
- DATA ANALYSIS: Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
- QUALITY ASSURANCE & DATA VALIDATION: Ensures the accuracy, consistency, and security of data across all reports and analyses.
- #LI-RJ2 #LI-Hybrid
Qualifications- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
- Proficiency with SQL and ability to understand relational data models.
- Proficiency with PowerBI.
Preferred Qualifications:- Experience with SAP and Salesforceproficiency with python experience with advanced analytic algorithms, including regression, clustering, time series forecasting.
The expected salary for this position is $107,000.00 - 183,000.00 USD. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions)
