Director, Enterprise Data Analysis

SkechersHermosa Beach, CA
1d$170,000 - $180,000

About The Position

The Data & Analytics team at Skechers is seeking a Director, Enterprise Data Analysis to build and lead a centralized, enterprise-wide data analysis function focused on helping the business understand performance, identify risks and opportunities, and make informed decisions. This role delivers business-focused analysis that goes beyond reporting by explaining what is happening, why it is happening, and what actions should be considered next. The Director will lead a highly hands-on team and partner closely with business leaders to proactively surface insights and translate data into clear recommendations that drive optimization and growth. This role reports directly to the VP, Data & Analytics.

Requirements

  • 12+ years of experience in data analysis, business analytics, or insights-focused roles, with demonstrated hands-on experience analyzing business performance, drivers, and outcomes using data.
  • Proven ability to translate data into what happened, why it happened, and what actions should be considered, and communicate this effectively to senior leaders.
  • Strong people leadership experience, combined with a highly hands-on, execution-oriented mindset.
  • Deep proficiency with modern analytics tools and platforms, including SQL, BI tools, cloud data platforms, and Python or notebook-based analysis.
  • Experience using GenAI or AI/ML-assisted analytical approaches to enhance business analysis and decision support.
  • Business-first orientation with strong analytical rigor, commercial acumen, and experience working across multiple Lines of Business.
  • Strong storytelling, communication, and stakeholder management skills, with the ability to influence decisions and build trust.
  • Experience in retail, consumer, or digital business environments, operating in fast-paced, outcome-driven settings.

Responsibilities

  • Build and lead an Enterprise Data Analysis function supporting all Lines of Business based on enterprise priorities.
  • Perform and guide hands-on analysis to interpret business performance, identify drivers, and root causes, and surface risks and opportunities.
  • Proactively monitor performance and define core KPIs and analytical views to detect deviations and answer recurring business questions.
  • Deliver prescriptive insights and recommendations, supported by clear business context and expected impact.
  • Leverage GenAI-assisted analysis and deep reasoning techniques to accelerate insight generation and improve analytical depth.
  • Collaborate with other teams within the Data & Analytics organization as needed to support analysis, insight generation, and decision-making.
  • Partner closely with business leaders to support decision-making, optimization, and growth initiatives.
  • Produce executive-ready PowerPoint presentations and written narratives that clearly communicate findings, implications, and recommended actions.
  • Establish consistent analytical frameworks, standards, and ways of working across the enterprise.
  • Track analytical work, outcomes, and realized business value with clear ownership and accountability.
  • Build strong trust and credibility so insights are proactively sought and acted upon.
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