About The Position

This position transforms complex business data into actionable insights, strategic recommendations, and compelling narratives that enable leaders to make informed operational and strategic decisions. Acting as a trusted advisor to leadership, the role connects data, business objectives, and organizational priorities to drive enterprise-wide impact and measurable business outcomes. The position leverages advanced analytical techniques, business intelligence tools, and data engineering capabilities to uncover opportunities, identify risks, and influence decision-making. Beyond analysis, the role excels in data storytelling—translating complex findings into clear, executive-level communications that align stakeholders around a common vision and inspire action. This role leads collaborative efforts across multiple teams to solve complex business challenges, define data strategies, and deliver scalable solutions. Success is measured by the quality of insights delivered, effectiveness in influencing decisions, ability to connect cross-functional priorities, and impact on organizational performance and customer experience. The ideal candidate combines strong technical expertise with exceptional business acumen, executive presence, and strategic thinking. They possess the ability to evaluate the business holistically, connect disparate initiatives to enterprise objectives, and translate vision into actionable strategies that drive growth, efficiency, and customer value.

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 Analytics experience solving analytical problems using quantitative approaches
  • Reporting & analyzing performance & data visualization (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 preferred
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice To Haves

  • Telecommunications

Responsibilities

  • Provide insights and recommendations that optimize experiences by collaborating with cross-functional teams across the organization
  • 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
  • Responsible for other duties/projects as assigned by business management as needed

Benefits

  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Flexible spending account
  • Paid time off
  • Up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs
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