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Senior Consultant, Data Analytics and Reporting

Atlanta, GA, US • Posted 30+ days ago • Updated 4 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

SAFE
Supply Chain Management
Supervision
Presentations
Stakeholder Management
Visualization
Dashboard
Statistics
Programming Languages
Data Manipulation
Process Improvement
Data Collection
Data Management
Reporting
Collaboration
Partnership
Data Integrity
Data Analysis
Decision-making
Quality Assurance
Data Validation
Management
Requirements Elicitation
Writing
User Stories
Agile
Scrum
Kanban
Communication
Data Governance
Meta-data Management
Privacy
Data Modeling
Semantics
Analytical Skill
Data Engineering
Analytics
SQL
Python
Apache Spark
Cloud Computing
Microsoft Azure
Amazon Web Services
Machine Learning (ML)
Artificial Intelligence
Workflow
Evaluation
Machine Learning Operations (ML Ops)

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 155,000 team members innovate with purpose, providing customers with life's 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 thing-today 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 and maintain automated reporting systems to streamline data analysis.
- STAKEHOLDER MANAGEMENT: Cultivates and maintains positive partners 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.

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 Scrum and Kanban.
- 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 (Kimball, star, semantic models) and designing scalable analytical datasets.
- DATA ENGINEERING: Familiarity with modern data engineering and analytics technologies, such as SQL, Python, Spark, dbt, and cloud-native data services (Azure, AWS).
- AI AND ML: Familiarity with ML/AI workflows, including model evaluation, feature engineering, and MLOps concepts.

Equal Opportunity Employer, including Disability/Vet.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10354351
Position Id: 166f16f11b53a8c1fde596a101c688b0
Posted 30+ days ago

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