Mondelēz International · 22 hours ago

Data & Analytics EM Manager

New Jersey, United States

Full-time

Remote

Entry, Mid Level

$103K/yr - $142K/yr

2+ years exp

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Responsibilities

Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization.

Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights.

Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results.

Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making.

Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

EM partnering, establishing roles and responsibilities with the EM, aligning expectations on project execution, issue resolution, delivery of project commitments (quality, service, cost, expenses) and sustained performance.

Provide leadership to the BD & E2E organization on the EM network strategy as it relates to the business team’s commercialization plans. Represent EM as “one point of contact” for brand strategies and project implementation within the EM network.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data analyticsStatisticsMachine learningData visualizationMicrosoft ExcelMicrosoft PowerPointData mining techniques