Responsibilities

• Build the long-term analytics roadmap aligned with business and product goals.
• Drive adoption of data-driven decision-making across all functions.
• Establish analytics as a core business enabler, not just a reporting layer.
• Own Snowflake-based cloud data warehouse architecture.
• Drive transformation frameworks using DBT for modular, testable pipelines.
• Ensure data quality, governance, and scalable modelling practices.
• Lead integration of AI copilots and semantic layers.
• Enable natural-language-to-SQL reporting and automated insight generation.
• Champion next-gen analytics experiences for business users.
• Hire, mentor, and manage analysts, analytics engineers, and BI developers.
• Build a culture of ownership, experimentation, and technical excellence.
• Set best practices for analytics engineering and insight storytelling.
• Work closely with Product, Engineering, Finance, and Operations teams.
• Translate business needs into scalable data products.
• Influence product and platform design using data insights.
• Hands-on ownership of Snowflake-based enterprise data architecture.
• First-mover advantage in AI-driven analytics and decision intelligence.
• End-to-end visibility across ingestion, modelling, and insight layers.
• Opportunity to build a high-impact analytics organisation from zero to scale.
  
  

Requirements

• 8-10 years of experience in Analytics, BI, or Data roles.
• Proven experience building and scaling analytics functions.
• Strong expertise in modern data stacks (Snowflake, DBT, BI tools).
• Experience in analytics engineering and data modelling.
• Familiarity with AI/ML-driven analytics or semantic layer tools.
• Ability to translate business problems into data solutions.
• Strong leadership, stakeholder management, and communication skills.
• Startup or high-growth environment experience preferred.
  
  

This job was posted by Kamalpreet Kaur from Wiom.