Senior Consultant, Data Analytics and Reporting
Share
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe responsible and sustainable way. Sitting at the heart of the supply chain we partner with farmers and customers to source make and deliver products that are vital for living.
Our 155000 team members innovate with purpose providing customers with lifes essentials so businesses can grow communities prosper and consumers live well. With over 160 years of experience as a family company we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thingtoday and for generations to come.
Job Purpose and Impact
- The Senior Consultant 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 andmaintainautomated reporting systems to streamline data analysis.
- STAKEHOLDER MANAGEMENT: Cultivates andmaintainspositivepartnersrelationships to understand their data needs providesinsightsand finds improvement opportunities and ensures reporting solutions address keyobjectives.
- 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 toidentifytrends 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 anddeliverssolutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
- LITERACY: Coaches and advisestomature 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.
Qualifications
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
Preferred Qualifications:
- PRODUCT BACKLOG:Managing a product backlog and prioritizing features using value-driven frameworks.
- PRODUCT DISCOVERY:Running discovery sessions gathering requirements and writing user stories.
- AGILE: Experience with Agile or product operating models including ScrumandKanban.
- STORYTELLING:Excellent communication and storytelling skills with the ability to present insights to executives and non-technical audiences.
- DATA GOVERNANCE:Knowledge of data governance practices including metadata lineage quality frameworks and privacy/security standards.
- DATA MODELING:Hands-on experience with data modeling (Kimballstar semantic models) and designing scalable analytical datasets.
- DATA ENGINEERING: Familiaritywithmodern data engineering and analytics technologies such as SQL Python Sparkdbtandcloud-native data services (Azure AWS).
- AI AND ML:Familiarity with ML/AI workflows including model evaluation feature engineeringandMLOpsconcepts.
Equal Opportunity Employer including Disability/Vet.
Required Experience:
Senior IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Cargill, Incorporated is an American privately held global corporation based in Minnetonka, Minnesota, and incorporated in Wilmington, Delaware. Founded in 1865, it is the largest privately held corporation in the United States in terms of revenue.
