Role Description
Analytics Engineers at CookUnity are data product owners who sit in a single team on a mission to minimize time spent by analysts and data scientists discovering, understanding, and preparing data before launching into their work. Each analytics engineer has ownership and autonomy over a set of entities/tables in a domain, collaborating on a single data design from first principles that the team owns together. As their products mature, they merchandise them as Tableau Connections, extracts into sheets, or any other endpoint needed to achieve their mission.
Some analytics engineers have an interest in data infrastructure and integrations, others in bringing their data to life through interactive visualizations, but all have the skills to work with unruly raw data, design analytics-friendly data products (including entities and flat tables), and build them to a production standard that the whole company can rely on. Everyone in data at CookUnity comes with a high agency mindset, a passion for collaborating with others, a pattern of achievement, and a sincere interest in investing in their own development.
Responsibilities
-
Own Core Data Products
-
Design, build, and maintain dbt models in Snowflake that reflect key business logic and serve as reliable sources of truth. Define clear ownership, usage expectations, and roadmaps for your data products.
-
Build Trustworthy, Scalable Models
-
Develop models that are easy to use, tested, documented, and serve a wide range of stakeholders. Measure success through usage metrics, reduced support needs, and SLA coverage.
-
Ensure Reliability and Observability
-
Monitor pipelines, track schema changes, and implement testing and alerting to ensure consistent data quality and uptime.
-
Drive Iteration Through Feedback
-
Collect and act on feedback from users. Use metrics, interviews, and usage logs to continuously improve your data products and documentation.
-
Advance AI Adoption in Analytics
-
Champion the use of agentic and AI-assisted tools in data workflows. Lead pilots, measure impact, and scale successful practices across the team.
-
Collaborate Cross-Functionally
-
Work with Engineering, Product, and Ops to align on metrics, instrumentation, experimentation, and data needs.
-
Mentor and Raise the Bar
-
Review code, guide design decisions, and share knowledge to elevate the craft of Analytics Engineering within the team.
Qualifications
-
4+ years of experience in Analytics Engineering, Data Engineering, or a similar role working with modern data stacks (dbt, Fivetran/Airbyte, Airflow, Snowflake/BigQuery, etc.)
-
Deep understanding of data modeling principles (e.g. dimensional modeling, ELT best practices, testing strategies, etc.)
-
Proficiency in SQL and version control (Git), with experience shipping production-quality data pipelines
-
Experience collaborating closely with cross-functional stakeholders (Product, Engineering, Operations, etc.) to translate business needs into data solutions
-
Comfort navigating ambiguity in fast-paced environments, with a strong sense of ownership and problem-solving mindset
-
Familiarity with BI tools (e.g. Tableau, Hex, Looker) and a passion for enabling self-serve data culture
-
Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
Benefits
-
💸 Get paid in USD
-
🗺 Work remotely: design the life that you want
-
⛱ Enjoy 15 days of vacation each year from the start date
-
🎄 16 fully paid Argentinean holidays
-
🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider
-
🗓️ 5-year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical
-
🐣 Paid Family leave
-
🕯 Compassionate Leave: 3-5 days each time the need arises
-
🧘🏽♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform
-
🧑🏫 Personalized English coach
