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Sr. Data Analyst – Product & Business Analytics
Location
United States
Posted
96 days ago
Salary
$50 - $60 / hour
Seniority
Senior
Job Description
Sr. Data Analyst – Product & Business Analytics
Haramain Systems
Role Description 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. 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. Requirements - 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. 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.
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