Senior Leads Insight Analyst

SUMMARY:
Senior Leads Insight Analyst

POSITION INFO:

Role Overview:

As a Senior Lead Insights Analyst, you will own the end-to-end insights lifecycle—from shaping the insight agenda and framing critical business questions, through deep analytical exploration, to delivering compelling narratives that directly influence executive decisions. Beyond delivering insights, you’ll build an insight-led culture, mentor analysts, and set the standard for excellence in data storytelling

This role is designed for a senior leader who can:

• Drive enterprise-level insight initiatives that inform strategy and investment decisions
• Translate complex data into persuasive recommendations for executives
• Build team capability and champion data-driven decision-making across the organization

Dutiies

• Own and prioritize the organization’s insight roadmap aligned to strategic objective
• Lead initiatives that shape business strategy and operational prioritie
• Serve as the senior insights voice in executive forums and planning cycle
• Lead complex analytical investigations to uncover growth and efficiency opportunitie
• Act as a trusted advisor to senior leaders across product, marketing, finance, and operations
• Deliver insights through compelling storytelling and visual clarity
• Mentor and develop analysts, setting high standards for rigor and impact
• Oversee planning, prioritization, and quality assurance across deliverable
• Establish scalable best practices for insight development and stakeholder engagement
• Champion data fluency and insight-led decision-making across the organizatiion

Requirements

• 6+ years in analytics, BI, or data science roles with a focus on strategic insights
• Bachelor’s degree in Computer Science, Statistics, or related quantitative field
• Advanced SQL and strong commercial acumen
• High proficiency in data visualization and storytelling tools (e.g., Power BI)
• Proven experience leading cross-functional initiatives and mentoring analyst
• FinTech or high-growth product-led environments
• Exposure to experimentation, forecasting, segmentation
• Familiarity with modern data stacks and cloud platforms (BigQuery, etc.)
• Agile ways of working and BI development lifecycles

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