Sr. Data Analyst - Product & Business Analytics
HARAMAIN SYSTEMS INC., New York, NY, United States
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
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