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Sr. Data Analyst

thunkable
San Francisco, USA
Full-time
Onsite
Discovered 1 months ago
SQLPythonRAmplitudeGoogle AnalyticsData Pipelines
Free

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Role Overview

Thunkable is seeking a Senior Data Analyst to join the Data & Analytics team.

The role bridges analytics and data foundations, connecting data from multiple sources.

Work closely with cross-functional teams to establish facts and understand the market, business, customers, and product.

Key Responsibilities

  • Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
  • Improve data reliability by identifying and troubleshooting tracking issues.
  • Partner with cross-functional teams to shape business requirements into scalable data architecture.
  • Document data architecture, key components, and data flows.
  • Query and analyze data from Amplitude and other SQL/NoSQL systems.
  • Conduct product and marketing analyses such as funnels, cohort analyses, and user segmentation.
  • Develop and monitor key metrics, including automated dashboards and recurring reports.
  • Lead data initiatives and experimentation, defining measurement approaches.

Required Qualifications

  • BA/BS degree or above in a related field or equivalent experience.
  • 3+ years of work experience in data science, data analytics or other quantitative roles.
  • Experience with building and maintaining data pipelines and integrations.
  • Experience with event tracking instrumentation and collaborating with engineering teams.
  • Experience with handling real-time and historical data from the ground up.
  • Experience with data queries and statistical programming tools (SQL, R, Python, etc.).
  • Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.).
  • Strong analytical and problem-solving skills with attention to detail.
  • Good communicator able to explain complex analyses using visualization and storytelling.
  • Self-starter who thrives in a start-up environment.

Preferred Qualifications

  • Experience with improving data pipelines, data storage and analytical frameworks.
  • Event tracking (e.g., JavaScript, Google Tag Manager).
  • JavaScript and React.

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