Data Analyst evaluating health and welfare programs for Marsh McLennan Agency. Working on claims analysis, actuarial projects, and data report development.
About the role
- Senior Consultant analyzing complex datasets and generating insights for decision making at Cargill. Collaborating with teams to ensure data accuracy and implementing reporting solutions.
Responsibilities
- Captures, processes, prepares, and analyzes complex datasets to extract significant insights, develop and maintain automated reporting systems to streamline data analysis.
- Cultivates and maintains positive partner relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.
- Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
- Performs statistical analysis to identify trends, patterns, and anomalies in data using statistical software and programming languages for data manipulation and analysis.
- Identifies opportunities to improve data collection and reporting processes and implements standard methodologies for data management and reporting.
- 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.
- Coaches and advises to mature data consumption and analytics capabilities.
- Conducts complex data analyses to uncover trends, patterns, and actionable insights for decision making.
- Ensures the accuracy, consistency, and security of data across all reports and analyses.
Requirements
- Minimum requirement of 4 years of relevant work experience.
- Typically reflects 5 years or more of relevant experience.
- Experience translating complex data into information and actionable insights for stakeholders with varying technical aptitudes.
- Proficiency with SQL and understanding of relational data models.
- Programming experience, preferably Python.
- Proficiency with data visualization software (PowerBI or Tableau).
- Must be legally entitled to work for Cargill in Canada.
Benefits
- Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
- The business will not sponsor applicants for work visas for this position.
- 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.
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