Data analysis: identify data needs, extract data, draw conclusions, and recommend actions.
Data strategy: shape BI/infrastructure; build self-service tools and automate scaling.
Storytelling: present insights to internal stakeholders and merchants with clear narratives.
Stakeholder management: align with teams, gather requirements, share insights clearly.
Technical contributions: Python/SQL queries; PySpark data pipelines; LookML/Looker dashboards.

🎯 Requirements

1-2 years in Data & Analytics.
Proficient in Python and SQL for data analysis.
Descriptive and inferential statistics (distributions, correlations, tests, regressions).
Ability to turn data into actionable insights and executive stories.
Experience with Looker or Tableau.
FinTech/Payments experience is a plus.

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