Enrichment Operations Analyst II

Canada - Remote (ON, AB or BC Only)

Instacart

Order same-day delivery or pickup from more than 300 retailers and grocers. Download the Instacart app or start shopping online now with Instacart to get groceries, alcohol, home essentials, and more delivered to you <b>in as fast as 1 hour</b>...

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We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

 

About the Role - In this role, you will partner closely with Catalog Product, ML, and Engineering and play a critical role in driving the “how” and execution of how we tackle Catalog goals on creating, scaling, and maintaining the accuracy of new catalog attributes (e.g. gluten-free) that are used to power experiences on the app (e.g. search filters, badges, ML models). This includes enabling our ML model pipelines used to generate data at scale through building LLM prompts, creating ground truth datasets, and evaluating the performance of ML models. You will use SQL to pull and analyze data in your day-to-day work. You will also be responsible for managing 3rd party vendors that provide catalog product data that is surfaced to customers. 

 

About the Team - The Enrichment Operations team sits within the Catalog Engineering organization. We partner with Catalog Product, Engineering, Data Science, and Machine Learning (ML) to create and measure the quality of new catalog data/attributes that are used to power customer experiences in all Instacart products (e.g., Marketplace, Caper, Storefront Pro). The catalog/product data are the foundation upon which customer experiences are built.

 

About the Job 

AI Enablement (40%)

    • Scale attribute data generation using ML. Collaborate with ML on attribute ML models and human-in-the-loop methodologies. You are responsible for building ground truth datasets, advising ML on what input data should be used, and building LLM prompts. You will also develop sourcing strategies on the best way to generate data for new attributes to power customer experiences. This requires thinking from both a technical/data point of view while also understanding how data should be presented to a customer on the app.
    • Evaluate model outputs (including criteria to decide on accuracy of outputs) to provide feedback to the ML team to improve models. This may involve reviewing and leading work from QA team members.

Driving Cross-Functional Projects (40%)

    • Collaborate with Product, Engineering, Data Science, and ML to execute on projects that roll up to catalog OKRs (e.g., increase attribute coverage).
    • Independently lead key projects and manage against catalog OKRs. This involves collaborating and aligning with a cross-functional team of technical and non-technical stakeholders to achieve the goals of a project within a defined timeframe. 

Analytics and Vendor Management (20%)

    • Manage relationships and data pipelines with 3rd party vendors and data providers that provide catalog data to Instacart. Use SQL to analyze data and present data-driven business recommendations. 

 

About You

Minimum Qualifications

  • 1-3 years of working experience in roles that involved project management, project delivery, stakeholder management, strategy and operations, and/or data analysis/analytics.
  • Bachelor’s degree in business, commerce, economics, IT management, or related field.
  • Experience leading cross-functional projects end-to-end, with strong communication and stakeholder management skills. Experience working closely with Product, Engineering, ML, and DS teams preferred. Proven track record of strong ownership and bias to action to drive key business results.
  • Ability to blend business acumen with technical understanding to drive operational strategy and execution.
  • Intermediate knowledge in Excel, Google Sheets, and SQL. Experience using analytical skills to pull, analyze, and make data-driven business decisions.

 

Preferred Qualifications

  • Experience working with databases that contain large volumes of structured and unstructured data. Working knowledge of APIs and data integrations.
  • Experience working at an e-commerce, retail, or technology company.
  • Experience crafting LLM prompts.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta and British Columbia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN$80,000—$89,000 CAD
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Category: Analyst Jobs

Tags: APIs CAD Data analysis Data pipelines E-commerce Economics Engineering Excel LLMs Machine Learning ML models OKR Pipelines SQL Unstructured data

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Team events

Regions: Remote/Anywhere North America
Country: Canada

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