Senior Data Analyst

Who we are

Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot.

About the Team:

At Typeform, the Data team is making data our #1 asset. And we know how important that is— our product helps people collect information in the best way possible, by making it conversational.

About the Role:

As a Senior Data Analyst at Typeform, your mission will be to work with stakeholders to parametrize and explain business performance with meaningful and interpretable metrics. You will play a pivotal role in leveraging data to provide actionable insights that will enable the GTM department to make more informed decisions, optimize performance, and drive growth for the company.

Things you’ll do:

• Be a strategic partner: Our data Analytics organization is a key enabler of the company’s overarching strategy and Product-Led Growth motion, not a service task for tactical questions. With that in mind, this role will work closely with cross-functional teams (i.e. Marketing, Product, and Sales) to align analytics initiatives with overall business objectives. Above and beyond performing the analysis itself, this role will help ensure we are ideating about and ultimately tackling the most impactful infrastructure and analysis challenges, and taking the right big bets together with the business.
• Act as a critical conduit and translator for the business: define and gather data from multiple sources in collaboration with the Tracking and Data Engineering teams, subsequently ensuring that we can answer Typeform’s most pressing questions and ultimately calculate and analyze our most critical metrics in a standardized way
• Drive impactful insights for the business: utilize SQL and/or Python to perform deep dive exploratory data analysis to identify trends, patterns, and opportunities, inherently improving our Go-to-Market (GTM) strategy and/or Product roadmap by better understanding the needs and tendencies of our customers
• Enable self-service at scale: as repeatable questions are defined and translated into metrics, create and automate reports/dashboards (in Looker) to help non-technical partners understand and act on the health of the business
• Help guide and drive experimentation: actively partner with the business to help design and conduct A/B testing, as well as help analyze results …