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Sr. channel excellence manager

San Luis Potosí, S.L.P.
Honeywell
Publicada el 12 diciembre
Descripción

As a senior channel excellence analytics manager, you will play a critical role in driving data-driven decision-making and providing valuable insights to support business growth and operational excellence in the channel excellence team. You will be responsible for working with a team of analytics professionals, collaborating with cross-functional teams, developing advanced analytical models, and delivering actionable insights to drive business outcomes. Utilizing statistical techniques, machine learning algorithms, and predictive modeling will be crucial in identifying trends, patterns, and opportunities for process improvement and optimization. By analyzing data, you will provide strategic recommendations to business leaders, helping them make data-driven decisions that align with business objectives. You will report directly to our sr director channel excellence, and you'll work out of our mexico city location on a hybrid work schedule.

In this role, you will impact the channel excellence team by providing data-driven insights and recommendations to optimize channel performance, improve customer satisfaction, and drive revenue growth.

*key responsibilities*
- collaborate with cross-functional teams to identify business challenges and opportunities where analytics can provide valuable insights
- develop and implement advanced analytical models and methodologies to analyze complex data sets and generate actionable insights
- design and deliver reports, dashboards, and visualizations to effectively communicate insights to stakeholders at all levels of the organization
- utilize statistical techniques, machine learning algorithms, and predictive modeling to identify trends, patterns, and opportunities for process improvement and optimization
- work closely with business leaders to understand their analytical needs and provide strategic recommendations based on data insights
- stay updated with the latest trends and advancements in analytics and data science, and identify opportunities to leverage new tools and technologies
- ensure data integrity, accuracy, and security throughout the analytics process
- manage and prioritize multiple analytics projects, ensuring timely delivery and alignment with business objectives
- collaborate with it teams to ensure data availability, accessibility, and quality for analytics purposes
- provide thought leadership in the field of analytics, driving innovation and continuous improvement in analytics processes and methodologies
- manage relationships with external vendors and partners to leverage their expertise and capabilities in analytics
- present insights and recommendations to senior leadership, influencing strategic decision-making and driving business outcomes

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