HARAMAIN SYSTEMS INC.Remote
Sr. Data Analyst – Product & Business Analytics :W2 Role
United States of America
Contract
2 weeks ago
Visa Sponsor
Key skills
Data AnalysisProduct TelemetryBusiness Systems DataSQLSnowflakeData ModelingData ProfilingData ValidationData Quality FrameworksPythonAnalyticsSaaSERPCollaboration
About this role
HARAMAIN SYSTEMS INC. is seeking a Sr. Data Analyst for a long-term contract role focused on product and business analytics. The role involves analyzing large-scale product telemetry data, designing analytical models, and collaborating with business stakeholders to deliver actionable insights.
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