Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we’ve led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier.

BASIC REQUIREMENTS:

• Bachelor’s degree.
• 4+ years of experience in managing and analyzing large datasets using Python or R, with strong proficiency in Power BI and Excel.
• 3+ years of professional experience in business analysis, financial analysis, strategic planning, and/or data analytics.

Preferred Qualifications:

• Candidates must demonstrate the ability to communicate insights effectively, both verbally and through presentations using PowerPoint.
• Experience in Python/R (scikit‑learn, pandas), Power BI or Tableau. Familiar with AWS, Microsoft Azure, and/ or Google Cloud Platform.
• Organizational and analytical skills with demonstrated ability to pull data from assorted sources and synthesis in both graphic and verbal forms.
• Cross-functional collaboration, negotiation, problem-analysis, and resolution skills
• Strong sense of urgency, quality, self-initiative, sense of ownership and customer satisfaction orientation.

LI-Remote

• Lead strategic initiatives using advanced analytics such as elasticity models, failure‑rate predictions, dynamic safety‑stock, customer churn, and historic customer behaviors.
• Build, enhance, and maintain Power BI dashboards; ensure single‑source‑of‑truth metrics for KPIs.
• Prepare and present analytical findings and recommendations to senior management and key stakeholders.
• Support other collaborative data analytics research occurring in parallel with your tasks.
• Continuously assess and refine analytical methodologies to improve the accuracy and relevance of insights.
• Translate complex analytics into plain‑English narratives and action plans for executives.
• Serve as change‑management champion – train end users, gather feedback, and measure adoption.