Data Analyst

At Sparq, we help companies solve the right problems—not just build more technology. We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI.

Requirements

• 2+ years of experience writing advanced SQL for large-scale data environments, specifically within Amazon Redshift or other PostgreSQL-based architectures.
• Deep, hands-on expertise in Amplitude for tracking user journeys, event properties, and behavioral cohorts.
• A strong foundation in applied statistics, including a deep understanding of variance, confidence intervals, and experimental design for A/B testing.
• Experience transforming raw data into polished visualizations and dashboards using Amplitude or BI tools like Tableau, Looker, or Metabase.
• Sharp product sense with the ability to link user actions to business outcomes like DAU/MAU and conversion rates.
• Exceptional communication skills, specifically the ability to explain technical methodologies to non-technical partners.
• High degree of autonomy and the ability to manage multiple analytical projects simultaneously in a fast-paced environment.
• Proficiency in scripting languages like Python or R for advanced statistical modeling and data manipulation.
• General understanding of data pipelines and Segment to understand how event data is routed into the warehouse.
• Experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech.

Benefits

• Progressive career journey and opportunity for advancement
• Continuous development through training, mentorship and certification programs
• Exposure to modern technologies across various industries in an agile environment
• Remote work