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.
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
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