Senior Product Analyst

The impact you will have

• Enhance product planning: influence product planning through informative impact sizing, enabling more strategic decision-making.
• Quantitative Intuition: Ability to translate qualitative insights into quantitative frameworks, providing deep analytical insights into why and how things work at scale, and uncovering the underlying mechanics of business success.
• Opportunity identification: be a strategic driver, identifying gaps and opportunities, building internal alignment around them, and creating meaning business impact
• Boost data literacy and culture: design, implement and own a comprehensive set of KPIs and metrics tailored to each product squad to enhance understanding and use of data across the company.
• Optimize tracking data: Revise the event governance framework and taxonomy, and conduct regular data quality checks to ensure the integrity of digital data.
• Improve data Integrity and quality: Collaborate with developers on database design to strengthen data integrity and quality.
• Establish a Single Source of Truth (SSOT): Work alongside Data & Analytics Engineers to implement robust models in DBT and Snowflake, and design dashboards that provide a unified view of business-critical data.

Who you’ll work with

• Reporting Structure: This role reports directly to our Director of Data Analytics, Piotr Rosiak.
• Team Collaboration: You will be embedded within up to two product squads (preferably one), working closely with Product Managers, designers, and developers within their regular sprint cadence.
• Technical Collaboration: You will collaborate with Analytics Engineers on all technical aspects, including data modeling, data quality, and the use of tools like DBT and Snowflake.

What we're looking for

• Experience: At least 5 years of experience in a product analytics role.
• KPI Development: A proven track record of developing KPIs and metrics tailored for product squads, particularly within a startup environment.
• Technical Proficiency: Strong proficiency in SQL, with extensive experience in DBT and Snowflake.
• Data Product Expertise: Ability to build comprehensive end-to-end data products.
• Organizational Skills: Highly organized with a keen eye for precision.
• Industry Experience: Prior experience in SaaS and/or startup environments is highly preferred. Experience in the restaurant industry is an added advantage.

Pay and benefits

• The estimated base salary range for this role is $160,000 - $210,000 USD depending on such factors such as level, experience and location. The offer will also include a generous pre-IPO equity package
• Other benefits include comprehensive health coverage, remote first, unlimited PTO - plus extra fun perks!