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

We are seeking a highly skilled Sr. Data Analyst with experience analyzing observability product telemetry data combined with enterprise application data such as Salesforce (SFDC), ERP/financial systems, consumption, and renewals data. This role will focus on data exploration, modeling, and analysis to drive insights that support product, growth, and customer success focused operational decision-making. Job Title: Sr. Data Analyst – Product & Business Analytics Remote Long term Contract Key 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. Required Qualifications • 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. Preferred Skills • 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.