💻 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.
✅ Minimum requirements
- 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 $140,000 - $180,000 USD plus a generous equity pre-IPO equity package
- Other benefits include comprehensive health coverage, work from anywhere (100% remote workplace), unlimited PTO - plus extra fun perks!
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