Sr. Data Analyst

Thunkable; San Francisco (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

Thunkable, based in San Francisco, seeks a Senior Data Analyst to transform product and business data into actionable insights that influence product strategy, growth, and customer experience. You will partner with Product, Engineering, Design, Marketing, and Leadership to define success metrics and measure impact of experiments.

In this role, you will improve data quality, work with multiple data sources, and build dashboards and self-service analytics to enable data-informed decisions across

Qualifications

• 3+ years of experience in data analytics or equivalent.
• Experience with product analytics, experimentation, and user behavior analysis.
• Experience with event tracking instrumentation and collaborating with engineering teams to validate analytics implementations.
• Experience handling real-time and historical data from the ground up, including data cleaning, processing, modeling and insights delivery.
• Proficient in SQL and at least one language (Python or R).
• Experience with Amplitude and Google Analytics.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and storytelling with data for technical and non-technical audiences.
• Self-starter who thrives in a startup environment.

Responsibilities

• Partner with Product, Marketing, and Leadership to identify opportunities and drive decisions through data.
• Conduct end-to-end product and growth analyses: funnel, cohort, retention, segmentation, monetization, experiments.
• Define success metrics and evaluate impact of features and experiments.
• Develop dashboards, recurring reports, and self-service analytics.
• Collaborate with engineers to design and maintain product event tracking.
• Improve data reliability by troubleshooting tracking issues.
• Document metrics, tracking plans, and data definitions.
• Integrate data from Amplitude, Google Ads, Meta Ads, CRM, and payments for a unified view.

Skills

Product analytics

Experimentation

Funnel analysis

Retention analysis

User behavior analysis

Data storytelling

Data visualization

SQL

Python

R

Education

Bachelor's degree or higher

Tools

Amplitude

Google Analytics

Job description

Role Overview

Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team. In this role, you'll turn product and business data into actionable insights that influence product strategy, growth, and customer experience. You'll partner closely with Product, Engineering, Design, Marketing, and Leadership to define success metrics, measure impact, identify opportunities, and support experimentation.

Beyond analysis, you'll help improve the quality and accessibility of our data by working with engineering on event tracking, integrating data from multiple systems, and ensuring our analytics foundation supports better decision-making across the business.

Key Responsibilities

• Partner with Product, Marketing, and Leadership to identify opportunities, influence product strategy, and drive business decisions through data.
• Drive end to end product and growth analyses including funnel analysis, cohort analysis, retention, segmentation, monetization, and experimentation.
• Define success metrics and evaluate the impact of new features, experiments, and product initiatives.
• Develop dashboards, recurring reports, and self-service analytics to enable data-informed decision making.
• Collaborate with engineers to design, implement, validate, and maintain product event tracking within React-based interfaces.
• Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
• Document key metrics, tracking plans, and data definitions to improve organizational understanding.
• Work with data from multiple sources (Amplitude, Google Ads, Meta Ads, payment systems, CRM, etc.) to create a unified view of the business.

Required Qualifications

• BA/BS degree or above in a related field or equivalent experience required.
• 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
• Experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.
• Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
• Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
• Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
• Experience with product and marketing analytics tools (Amplitude, Google Analytics, etc.)
• You have strong analytical and problem-solving skills, with a keen attention to detail.
• You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.
• You are a self-starter who thrives in a start-up environment and has a strong follow-through.

Preferred Qualifications

• Experience with improving data pipelines, data storage and analytical frameworks.
• Event tracking (eg. Javascript, Google tag manager)