About the role
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.