HARAMAIN SYSTEMS INC.Remote
Sr. Data Analyst – Product & Business Analytics: W2 Role
United States of America
Contract
1 week ago
No H1B
Key skills
Data AnalysisProduct Telemetry DataBusiness Systems DataSalesforce (SFDC)ERP SystemsConsumption DataRenewals DataSQLSnowflakeData ModelingData ProfilingData Quality FrameworksPythonAnalyticsSaaSERPCollaborationCustomer Success
About this role
HARAMAIN SYSTEMS INC. is seeking a highly skilled Sr. Data Analyst to focus on analyzing observability product telemetry data and enterprise application data. This role is centered on data exploration, modeling, and analysis to drive insights supporting operational decision-making related to product growth and customer success.
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