Sr. Data Analyst – Product & Business Analytics : W2 role

HARAMAIN SYSTEMS INC. is seeking a highly skilled Sr. Data Analyst with experience analyzing observability product telemetry data combined with enterprise application data. The role focuses on data exploration, modeling, and analysis to drive insights that support product, growth, and customer success focused operational decision-making.

Responsibilities:

• Analyze large-scale product telemetry data (Observability) to integrate it with Snowflake data warehouse and business application data (SFDC, ERP financials, consumption, renewals) to deliver actionable insights
• Design and build analytical data models that support reporting, analysis, and downstream consumption
• Perform deep data profiling on high-volume datasets to understand trends, anomalies, and data gaps
• Write and optimize advanced SQL queries (Snowflake preferred) to support analytics and business use cases
• Define, automate, implement, and monitor data quality checks to ensure accuracy, completeness, and consistency of analytical datasets
• Partner closely with business SMEs, data engineers, and other analytics stakeholders to translate business questions into analytical solutions
• Communicate findings clearly through presentations, documentation, and dashboards, tailoring insights to technical and non-technical audiences

Requirements:

• 10+ years of proven experience as a Data Analyst working with product telemetry and business systems data (e.g., SFDC, ERP/financial systems, consumption, renewals)
• Strong expertise in SQL, including complex analytical queries; Snowflake experience strongly preferred
• Solid foundation in data modeling for analytics and reporting use cases
• Demonstrated experience working with large, voluminous datasets, including profiling and validation
• Hands-on experience establishing and maintaining data quality frameworks and checks
• Strong collaboration skills with the ability to work effectively across business and technical teams
• Experience presenting analytical findings and insights to stakeholders
• Familiarity with big data techniques and analytical best practices at scale
• Experience in SaaS metrics
• Experience with Python for data analysis, automation, or data validation
• Exposure to modern data platforms and cloud data ecosystems