Principal Data Analyst

The Principal Data Analyst is a strategic analytics leader and subject-matter expert who shapes how data is used across the organization. This role leads the most complex, high-impact analyses, defines analytical standards, and partners with executive leadership to influence long-term business strategy. The Principal Data Analyst operates with broad autonomy and serves as a mentor and thought leader across the analytics community. Key Responsibilities

• Lead enterprise-level, high-impact analyses that inform strategic decisions
• Define and govern company-wide KPIs, metrics, and analytical frameworks
• Translate ambiguous, complex business problems into structured analytical approaches
• Influence executive decision-making through clear, compelling data storytelling
• Partner with senior leadership to shape analytics strategy and priorities
• Set standards for analytical rigor, experimentation, and data interpretation
• Mentor Staff and Senior Analysts and elevate analytical excellence across teams
• Drive improvements in data quality, metric consistency, and governance
• Identify emerging trends, risks, and opportunities proactively

• Bachelor’s degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)
• 10+ years of experience in analytics or data-focused roles
• Expert-level SQL and advanced analytical modeling skills
• Extensive experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)
• Strong statistical reasoning and business acumen
• Proven ability to influence executive stakeholders through insights

Preferred Experience

• Advanced proficiency in Python or R for analysis
• Experience designing experimentation or causal analysis frameworks
• Familiarity with data engineering and modern data architectures
• Domain expertise (e.g., product, finance, HR, operations, growth analytics)
• Experience shaping analytics strategy without direct people management