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This role delivers insights and supports leaders in making strategic and operational decisions through advanced data analysis. In addition to generating analysis, reporting, and recommendations, this role plays a key part in supporting the Integrated Operating Plan by ensuring short-term performance commitments ladder to annual and multi-year objectives across growth, financial, and operational success metrics. The role differentiates itself by leading collaborative efforts across multiple teams to connect quarterly commitments, enterprise priorities, and long-range plans into cohesive, executive-ready insights. Success is measured by the quality of insights provided, effectiveness of communication, and impact on decision-making processes—particularly the organization’s ability to align near-term execution with longer-term strategic outcomes. The work influences organizational strategies and customer experiences by enabling data-driven improvements and informed business actions.
Job Responsibility:
Provide insights and recommendations that optimize business performance and customer experiences by collaborating with cross-functional teams across the organization
Connect short-term performance commitments to annual and long-range plan targets by identifying gaps, risks, and trade-offs across key growth and operational metrics
Develop and maintain data and reporting solutions including reports, dashboards, and self-service tools to support enterprise objectives
Apply analytical and modeling techniques to enhance decision-making and prioritize resources across various business options
Create and deliver executive-level presentations that clearly communicate complex analytical findings to influence leadership decisions
Also responsible for other duties/projects as assigned by business management as needed
Requirements:
Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
Acceptable areas of study include Data analysis, data science, decision science, similar quantitative fields or equivalent practical experience
7-10 years of analytics experience solving complex business problems using quantitative approaches
Reporting and analyzing performance data using visualization tools (Tableau, Power BI, etc.)
Advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research
Experience with Python, R, Go or similar statistics or data science language
Telecommunications (Preferred)
Communication: Ability to manage relationships, influence, and communicate complex analysis, logic, and solutions in a clear and concise manner at the executive level
Cross-Functional Leadership: Demonstrated ability to drive alignment and accountability across cross-functional stakeholders within structured planning and operating cadences
Problem Solving
Data Analysis: Exceptional at using wide ranging datasets to deliver broad analysis and insights to maximize value creation and return on investment