Data Analyst

No C2C or third-party candidates will be considered. Data Analyst – Observability & Business Systems Role Overview We are seeking an experienced Data Analyst to drive insights by combining product telemetry (observability data) with enterprise business systems such as Salesforce, ERP/financial platforms, and consumption/renewals datasets. This role focuses on deep data exploration, modeling, and analytics to support product strategy, growth initiatives, and customer success operations. Key Responsibilities • Analyze large-scale observability telemetry data and integrate it with Snowflake and enterprise systems (SFDC, ERP, financials, consumption, renewals) to generate actionable insights • Design and develop scalable analytical data models to support reporting, ad hoc analysis, and downstream data consumption • Perform in-depth data profiling on high-volume datasets to identify trends, anomalies, and data gaps • Write and optimize complex SQL queries (Snowflake preferred) to support advanced analytics and business use cases • Establish, automate, and monitor data quality frameworks to ensure data accuracy, completeness, and consistency • Collaborate cross-functionally with business stakeholders, SMEs, and data engineering teams to translate requirements into analytical solutions • Present insights through dashboards, documentation, and presentations tailored to both technical and non-technical audiences Required Qualifications • 10+ years of experience as a Data Analyst working with product telemetry and enterprise business systems (e.g., Salesforce, ERP/financials, consumption, renewals) • Advanced SQL expertise, including complex analytical queries; Snowflake experience strongly preferred • Strong background in data modeling for analytics and reporting • Proven experience working with large-scale datasets, including data profiling, validation, and quality assurance • Hands-on experience building and maintaining data quality frameworks and validation processes • Excellent communication and collaboration skills, with experience presenting insights to stakeholders Preferred Skills • Familiarity with big data tools and scalable analytics best practices • Experience working with SaaS metrics (e.g., ARR, churn, expansion, usage) • Proficiency in Python for data analysis, automation, or validation • Exposure to modern cloud data platforms and ecosystems