Data Analyst

About The Opportunity

• Author, optimize, and maintain complex SQL queries and ETL processes to prepare reliable datasets for reporting and analytics.
• Design and deliver interactive dashboards and visualizations (Power BI / Tableau) that surface product metrics, performance trends, and risk signals to stakeholders.
• Perform exploratory and statistical analyses using Python to identify patterns, drivers, and opportunities for product and operational improvements.
• Implement data-quality checks, anomaly detection, and monitoring to ensure accuracy and timeliness of metrics.
• Partner with product managers, data engineers, and business teams to translate requirements into measurable KPIs, experiments, and action-oriented insights.
• Automate recurring reports and analyses, document data definitions and lineage, and present findings with clear recommendations to cross-functional audiences.
  

Skills & Qualifications

Must-Have

• SQL
• Python
• Excel
• Power BI
• Tableau
• Data modeling
  

Preferred

• Snowflake
• Looker
• Git
  

Additional Qualifications

• Bachelor's degree in a quantitative field (or equivalent experience) and 2+ years of hands-on analytics experience preferred.
• Proven ability to translate data into business recommendations and communicate findings to non-technical stakeholders.
  

• Hybrid work model with flexible in-office days and a collaborative, learning-focused environment.
• Opportunities for upskilling in cloud analytics, data engineering, and machine-learning applications.
• Competitive compensation, performance-linked incentives, and career progression into senior analytics or product roles.