The Senior Lead Data Analyst is a high-impact role responsible for shaping strategy and driving execution of advanced analytics across product, business, and platform domains. With a broad sphere of influence, this role owns highly complex initiatives, mentors cross-functional teams, and steers the Analytics & BI function toward scalable, data-driven decision-making. The Senior Lead functions as a technical expert, strategic thinker, and organizational bridge-builder.
As a senior thought leader within the Analytics, the Senior Lead Data Analyst drives roadmap alignment, introduces innovative measurement strategies, and oversees development of analytics capabilities across teams. This role works closely with stakeholders to diagnose challenges, design solutions, and deliver high-leverage insights. They serve as a multiplier for analytics effectiveness through influence, enablement, and cross-org partnership.

YOUR EXPERIENCE:

• 8+ years of progressively senior experience in data analytics, BI, or data science
• Demonstrated ability to lead large-scale, cross-functional analytics initiatives with measurable business impact.
• Advanced SQL fluency and strong experience with Looker (or similar BI platforms) at the data modeling layer.
• Deep expertise in analytics architecture: reusable pipelines, event taxonomies, semantic layers, KPI governance.
• Strong track record in designing and implementing enterprise-wide measurement and experimentation strategies.
• Strategic thinking and business acumen: ability to connect high-level objectives with tactical data execution.
• Skilled at navigating ambiguity and setting direction for others in complex, fast-paced environments.
• Highly effective communicator and influencer, including at the executive level.
• Strong mentoring and leadership presence; builds capability through coaching, feedback, and enablement.
• Embodies self-awareness, resilience, and thoughtfulness in interpersonal dynamics.

PREFERRED QUALIFICATIONS (BONUS POINTS):

• Experience operating in platform analytics, data governance, or embedded enterprise analytics roles.
• Proficiency in Python or R for statistical modeling or automation.
• Experience with dbt, Airflow, or similar tools for data pipeline development and orchestration.
• Familiarity with causal inference, machine learning, or advanced forecasting methods.
• Track record of leading change management or transformation efforts within data organizations.

Please refer the Job description for details