Sr. Data Analyst

Responsibilities:

• Proactively monitor and report on how key product, trading, and growth metrics are performing, owning a regular metrics review cadence and raising insights, anomalies, and opportunities without being prompted.
• Define and maintain the metrics frameworks, definitions, and reporting standards used across the company to ensure a single source of truth.
• Build and own automation in Python to eliminate manual reporting and streamline recurring data workflows.
• Write and optimize complex SQL across Redshift and MySQL to extract, transform, and analyze large datasets.
• Design and maintain dashboards and reports in BI tools (e. g., Metabase, Looker, or Tableau) and advanced Google Sheets/Excel models.
• Instrument, validate, and analyze product and marketing events across Mixpanel and Google Analytics.
• Partner with product and growth teams to design experiments (A/B tests), measure impact, and translate ambiguous business questions into clear, actionable analyses.
• Champion data security and responsible handling of PII and sensitive financial data, enforcing access controls, masking/anonymization, and compliance-aware practices.
• Mentor junior analysts and raise the analytical capability of the wider team.

Requirements:

• 7-10 years of experience in data/business analytics, including a track record of proactively driving insights and owning metrics.
• Bachelor's degree in a quantitative field (statistics, computer science, economics, engineering, or mathematics) or equivalent experience.
• Expert-level SQL, with hands-on experience across Redshift and MySQL.
• Strong Python skills for writing and maintaining automation and data pipelines (pandas, scripting, scheduled jobs).
• Mastery of Google Sheets and Excel for advanced modeling, reporting, and analysis.
• Hands-on experience with product/web analytics tools, Mixpanel and Google Analytics.
• Proficiency with at least one BI/visualization tool (Metabase, Looker, Tableau, or similar).
• Solid understanding of data security and PII access control, data masking/anonymization, and handling sensitive financial data responsibly.
• Excellent communication skills, with the ability to influence both technical and non-technical stakeholders.