Senior Data Analyst

⭐ Role Overview

⭐ How will you make an impact?

• Own end-to-end funnel analysis across all product areas, identifying drop-off points and conversion opportunities
• Analyze user journeys through activation, engagement, and retention to uncover friction points for different cohorts and user segments
• Partner with Product teams to prioritize and measure funnel improvement initiatives
• Define and track customer value metrics (activation, adoption, retention, engagement, conversion), business KPIs (ARR, churn, LTV, CAC) and translate them into actionable product signals
• Create insightful dashboards showing how product improvements impact customer value and business outcomes
• Autonomously design and lead A/B tests focused on funnel conversion improvements, partnering with stakeholders
• Proactively propose experiments to unlock new customer value levers and optimize conversion rates
• Select success metrics, analyze results, and interpret statistical significance to inform decisions
• Develop and maintain data models using dbt (incremental models, snapshots, documentation, generic tests, macros)
• Apply data modeling techniques (star/snowflake schema, data-marts, SCDs) and optimize BigQuery queries using clustering/partitioning for performance and cost efficiency
• Work as embedded peer within Product squads, participating in syncs and discovery sessions to surface customer pain points and bottlenecks
• Communicate findings effectively to technical and non-technical stakeholders and mentor junior analysts to promote excellence

⭐ What makes you a great fit?

• 5+ years of experience in a data analyst role, preferably in a SaaS or Product analytics environment
• Proven experience in funnel analysis and optimization, with a track record of improving conversion rates
• Strong A/B testing expertise with proven ability to design experiments and analyze statistical significance
• Strong business acumen and project management skills, with ability to connect analysis to objectives, define scope, and execute autonomously
• Expert-level SQL proficiency including window functions, query optimization, and experience with BigQuery or similar cloud data warehouses
• Excellent communication skills with ability to translate data insights into business recommendations
• Experience with dbt for data transformation and modeling
• Proficiency in data visualization tools (e.g., Looker, Power BI, Metabase, or similar) with strong understanding of visualization best practices

⭐ How can you earn extra bonus points?

• Proficiency in Python for data analysis and automation, with knowledge of cohort analysis and customer segmentation techniques
• Experience in the SaaS, vacation rental industry, or travel tech sectors
• Familiarity with growth frameworks and product-led growth strategies

Why you’ll love us:

Originally posted on Himalayas