Sr. Analyst & Data Specialist

Position Purpose
The person in this roll will be the technical expert on the analytics team ? responsible for connecting to data sources and performing complex analysis on that data to uncover insights that guide Cargill's decisions. The analyst & data specialist will also lead implementation of a Corporate Affairs Data Strategy that ensures the function has the information it needs to measure progress towards meeting its goals. The emphasis is not on programming and spending large amounts of time building models. Rather, it is on tapping into data sources efficiently in order to respond quickly to a rapidly changing external environment. This person should have full knowledge of industry practices and creativity in using those skills to solve the problem at hand while working with minimal supervision.
The job requires clear, concise communication skills through both text and visualizations. A high premium will be placed on distilling and interpreting that information so people across the company can quickly grasp it and act on it. Insights must be turned around at the speed of breaking news. Because the work informs decision-making and measures the impact of what's communicated about and by the company, it also requires a high level of accuracy and informed judgment.
Principal Accountabilities
40% Provide technical expertise necessary to connect Corporate Affairs to internal and external data sources:
Serve as the lead technical expert in implementing the data & analytics manger's Corporate Affairs Data Strategy.
Oversee ingestion of data sources through collaboration with Cargill IT professionals, third-party contractors and vendors.
Connect incoming data to tools that centralize dispersed data sources and expose insights to a variety of users ? from novices to experts.
Collect data through Web scraping, surveys, forms and other measures.
35% Analysis, measurement and reporting
Use off-the-shelf tools and programming skills to uncover insights from large data sets and predict upcoming trends.
Deliver those insights to stakeholders in a variety formats ? ranging from one-sentence summaries to deep-dive studies to interactive dashboards. A high premium is placed on distilling, interpreting and visualizing information so others can quickly grasp its impact and act on it..
Connect the dots on related news, events and issues. Recognize new developments in ongoing issues.
Gauge the company's reputation, identifying those who influence that reputation and assessing the company's progress in reputation-building.
15% Monitoring
Track information the company knows it wants over time.
Detect and track unexpected news and events in real time.
Detect emerging trends.
Alert key stakeholders to new information that is business critical, could affect customer relationships or could help or harm the company's reputation.
Coordinate with internal and external stakeholders who also have a role in monitoring information.
10% Other duties as needed
This position is posted internally as well as externally
Minimum Required Qualifications
Bachelors Degree in Computer Science or related degree or work experience, with emphasis in data analysis.
3 -5 years experience working on projects that involve collecting and analyzing data to surface insights and present those insights to non-technical audiences
Experience using Web scraping, API connections, SQL queries and other methods to collect data
Familiarity with data visualization tools like Tableau, Power BI or similar
Proficiency in R, Python and SQL
Proficiency in Excel and PowerPoint
Excellent analytical skills: Good at detecting patterns, identifying what's relevant, distilling and interpreting information for others, simplifying the complex
Excellent written and verbal communication skills, writes with speed, clarity and simplicity
Requires occasional work outside of normal business hours
Minimum travel required
Preferred Qualifications
Master's degree in Computer Science, Data Science, or Business Analytics
5 ? 7 years experience working on projects that collect and analyze data to surface insights and present those insights to non-technical audiences
In-depth knowledge of databases and Hadoop
Experience working in a cloud environment, such as Amazon Web Services
Experience working with GIS tools such as ArcGIS, QGIS, CartoDB or similar
Experience working with social network mapping tools like Gephi, NodeXL or similar
Knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models.
Experience in a large, complex, global organization

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