Cargill

Senior Consultant, Data Analytics, Reporting

Cargill

full-time

Posted on:

Location Type: Office

Location: Atlanta • United States

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Job Level

Senior

Tech Stack

AWSAzureCloudPythonSparkSQL

About the role

  • Collecting, processing, and analyzing complex datasets to generate actionable insights
  • Building detailed reports and dashboards using specific tools
  • Collaborating with cross-functional teams to ensure data accuracy and integrity
  • Performing data and statistical analysis using various programming languages
  • Presenting data findings to partners to meet business objectives
  • Developing and maintaining automated reporting systems to streamline data analysis
  • Cultivating and maintaining positive relationships with stakeholders to understand their data needs

Requirements

  • Minimum requirement of 4 years of relevant work experience
  • Typically reflects 5 years or more of relevant experience
  • Managing a product backlog and prioritizing features using value-driven frameworks
  • Running discovery sessions, gathering requirements, and writing user stories
  • Experience with Agile or product operating models, including Scrum and Kanban
  • Excellent communication and storytelling skills, with the ability to present insights to executives and non-technical audiences
  • Knowledge of data governance practices, including metadata, lineage, quality frameworks, and privacy/security standards
  • Hands-on experience with data modeling (Kimball, star, semantic models) and designing scalable analytical datasets
  • Familiarity with modern data engineering and analytics technologies, such as SQL, Python, Spark, dbt, and cloud-native data services (Azure, AWS)
  • Familiarity with ML/AI workflows, including model evaluation, feature engineering, and MLOps concepts.
Benefits
  • Health insurance
  • Retirement plans
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysisstatistical analysisdata modelingSQLPythonSparkdbtcloud-native data servicesML workflowsMLOps
Soft Skills
communication skillsstorytelling skillscollaborationrelationship managementstakeholder engagementrequirement gatheringuser story writingpresentation skillsdata accuracydata integrity