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Data Analyst II

Data Analyst II enhances operational tracking and reporting for Sales, Operations, Product, and Finance teams using SQL, Python, and BI tools like Looker and Hex. Drives insights through dashboards, ad-hoc analyses, and self-service tools in fintech. Requires 3+ years experience.

94k – 117kSan Francisco, CAData AnalyticsHybrid3+ YOE

About the role

What you’ll do

As a Data Analyst II, you will enhance operational tracking and reporting for business teams. Work with Data Scientists, Engineers, and partners to drive insights via visualizations, self-service tools, and ad-hoc analyses in a fast-paced fintech environment.

Responsibilities

  • Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
  • Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
  • Develop self-service data tools and processes that empower business stakeholders to independently monitor performance and health.
  • Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support analytical data models.
  • Implement and maintain rigorous data quality checks for datasets used in dashboards, reports, and analyses.
  • Partner with departments—including Sales, Operations, Product, and Finance—to deliver tailored analyses and reporting.
  • Contribute to automation of recurring analyses and reporting workflows using Python.

Requirements

  • 3+ years of experience in data analytics or related role.
  • 2+ years working directly with Sales, Operations, Product, or equivalent teams.
  • Fluency in SQL (CTEs, window functions, joins across large datasets).
  • Experience with Python for data analysis, automation, or scripting.
  • Experience with BI and visualization tools (Looker, Hex, Tableau, or similar).
  • Strong quantitative and analytical skills to translate data into business insights.
  • Strong communication skills for stakeholders across functions.
  • Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot).

Bonus points

  • Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks).
  • Familiarity with dbt for data modeling and transformation.
  • Exposure to data pipeline orchestration tools (Airflow).
  • Experience in fintech, financial services, or payments.

Compensation

Expected salary range: $93,600 - $117,000 base pay, depending on location, skills, experience, market demands, and internal pay parity. Equity and other compensation may be provided.

Skills

SQLPythonLookerHexTableauSnowflakeBigQuerydbtAirflowGithub Copilot

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