Sr. Data Analyst (Product Analytics)

About the role

Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team where you will turn product and business data into actionable insights that directly influence product strategy, growth initiatives, and the overall customer experience. In this capacity, you will own the definition, measurement, and analysis of key performance indicators that dictate the success of our platform and products. You will act as a strategic partner to Product, Engineering, Design, Marketing, and Leadership, helping them understand user behavior and the financial impact of their initiatives. A core part of this role involves driving end-to-end analysis, including funnel analysis, cohort analysis, retention studies, segmentation, monetization analysis, and the measurement of experimentation results. Beyond performing analysis, you will be responsible for improving the quality and accessibility of our data by collaborating with engineering on event tracking, integrating data from disparate systems, and ensuring our analytics foundation is robust and supports better decision-making across the entire business. You will document standards and work to establish a single source of truth for metrics so that the organization can rely on consistent definitions. Ultimately, this position is critical for building a data-driven culture where insights lead to validated learning and continuous product improvement.

Key facts

What you'll do

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.

Utilize data queries and statistical programming tools such as SQL and Python to manipulate, analyze, and model data sets.

Analyze user behavior to uncover patterns related to engagement, retention, and conversion within the platform.

Perform segmentation analysis to understand how different user groups interact with the product and where the highest value opportunities exist.

Analyze monetization metrics to assess revenue impact and inform pricing or packaging strategies.

Implement tracking for new features to ensure that product changes are measurable from day one.

Synthesize complex findings into clear narratives and visualizations that are accessible to both technical and non-technical stakeholders.

Requirements

You hold a BA/BS degree or above in a related field or equivalent experience.

You bring 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.

You have direct experience with product analytics, experimentation, funnel analysis, retention, and user behavior analysis.

You have hands-on experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.

You have experience handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.

You are proficient in data queries and statistical programming tools such as SQL and Python.

You have experience using product and marketing analytics tools such as Amplitude and Google Analytics.

You possess strong analytical and problem-solving skills, with a keen attention to detail.

You are a good communicator who 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.

Nice to have

Experience with improving data pipelines, data storage and analytical frameworks.

Event tracking (eg. Javascript, Google tag manager).