via Glassdoor
$120K - 200K a year
Lead enterprise-level data analyses, define analytical standards, and influence strategic decision-making at the executive level.
Requires over 10 years of analytics experience, expert SQL skills, and proficiency with BI tools, with preferred skills in Python/R and data engineering.
Role Overview 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 Qualifications • 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
This job posting was last updated on 1/15/2026