Groceries, Alcohol, Home Essentials & more.
Order in seconds, delivered in minutes.

Gopuff is the go-to instant commerce platform, fulfilling consumers’ evolving, everyday needs. With an unmatched assortment that includes cleaning and home products, medicine, pet care, office supplies, beauty and wellness items, baby products, food and drinks, local brands, as well as alcohol and fresh prepared food in some markets, Gopuff brings a unique, reliable and magical experience to customers around the world.

Founded in 2013 by co-founders and co-CEOs Rafael Ilishayev and Yakir Gola, Gopuff created the instant needs category and continues to build the rails that define the future of commerce. To learn more, visit www.gopuff.com.

As a Data Analyst II at Gopuff, you’ll be responsible for being a strategic ambassador between our data assets and the rest of our organization. You will be a crucial partner to ensure the integrity, reliability, and usability of gold data products for all teams as they make critical data-driven decisions. This role sits within the Analytics Engineering team within our Tech, Product, and Design (TPD) organization. You’ll have the opportunity to make a significant impact as the future success of Gopuff will largely depend on our ability to drive data-driven decisions and strategy.

Our stack currently consists of Snowflake, dbt, and Looker. If you have expertise in these tools or an appetite to learn more about them—let’s chat!

Responsibilities

• Be our go-to data expert and have a deep understanding of leveraging gold data models and assets to perform strategic analyses that help our company successfully achieve our objectives.
• Partner with product managers, engineers, data scientists, and business stakeholders to understand each team’s data needs and help evangelize existing gold data assets that enable a data-driven culture.
• Collaborate with data scientists to perform deep dive ad-hoc analyses and set up A/B and multivariate experiments.
• Build aesthetically compelling and impactful presentations that drive actionable insights.
• Design and develop automated golden dashboards in Looker that drive strategic decision-making and monitoring across the organization
• Democratize and standardize both analytical methodologies and operational metrics to improve the data literacy and analytical prowess of the organization
• Empower stakeholders to become more self-service by leveraging Looker for most of their reporting needs
• Identify gaps in existing data, suggest data product specs as new features launch, and collaborate with internal teams to add and improve existing gold data offerings.
• Incorporate automation wherever possible to improve data pipelines and analyses.
• Create testing and monitoring systems to ensure data quality and observability.
• Build and maintain documentation to ensure data accessibility to all stakeholders.

Minimum Qualifications

• Bachelor’s in Engineering, Business, Information Systems, or other quantitative discipline
• 4+ years of professional experience as an analyst writing advanced SQL queries to answer business questions in addition to building and maintaining reporting in various enterprise Business Intelligence platforms
• 1+ years of professional experience developing assets in Looker
• Ability to analyze large datasets in SQL and Python
• Excellent collaboration & communication skills to work with stakeholders to translate business needs and ideas into tractable work items.
• Excellent communication skills with an ability to effectively present to the senior leadership team, board of directors, and other key stakeholders
• Top-notch organizational skills and ability to manage multiple projects and deadlines in a fast-paced environment
• Move fast, be a team player, always be learning, and give back

Preferred Qualifications

• Master’s degree in Engineering, Business, Information Systems, or other quantitative discipline
• Experience and strong knowledge of data warehousing concepts, big data technologies, and analytics platforms
• Experience using dbt, Snowflake, Streamlit, github, Monte Carlo
• 2+ years of experience in e-commerce and retail