
eCommerce • Transport • Retail
Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.
1001 - 5000 employees
Founded 2012
🛍️ eCommerce
đźš— Transport
đź›’ Retail
đź’° $232M Venture Round on 2021-11
October 29

eCommerce • Transport • Retail
Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.
1001 - 5000 employees
Founded 2012
🛍️ eCommerce
đźš— Transport
đź›’ Retail
đź’° $232M Venture Round on 2021-11
• Support the Commercial Marketing team by creating and managing the data and reporting structure for commercial marketing. • Build and maintain data pipelines, create reports and dashboards for stakeholders, and ensure data integrity through processing, cleansing, and validation efforts. • Serve as the marketing operations contact, partnering with sales operations to better segment our target audiences. • Manage technical aspects of key marketing systems (marketing automation, CRM) used to generate, distribute, and report on leads. • Translate business requirements into actionable audience targeting strategies while identifying patterns to develop repeatable targeting templates. • Create and maintain metrics reports on marketing and sales activities and effectiveness and business impact. • Monitor campaigns to optimize performance based on industry best practices. • Translate data into actionable insights and recommendations that help to drive business outcomes. • Partner with marketing stakeholders to develop robust KPIs and scorecards for marketing performance monitoring. • Present analysis and findings to a variety of audience. • Evaluate new technologies and add-on applications to improve and optimize marketing team performance. • Interact with and analyze data from various sources and platforms relevant to Marketing (e.g., campaign automation, CRM, data warehouse, CDP, LMS/CMS, 3rd party data, social listening).
• 5+ years of experience working as a decision/data scientist/analyst, data engineer, or software engineer focused on Marketing • B.S. / M.S. in relevant or quantitative discipline: Computer Science, Data Science, Applied Mathematics, and/or Statistics • Thrives in a fast-paced, cross-functional role • Ability to build effective relationships with key business stakeholders and form productive partnerships with collaborators, including the ability to translate technical findings to non-technical audience • Experience building operational dashboards and automated reporting • Proficiency in the usage, configuration, and management of: • Data visualization and reporting tools (e.g., Tableau, Power BI, Looker Studio) • Analytics tools (e.g., GA4, Adobe Analytics, etc.) • Tag management systems (e.g., Google Tag Manager, etc.) • Data querying and manipulation tools (e.g., SQL) • Experience with marketing automation and CRM platforms (eg. Pardot, Salesforce or similar) • Strong problem-solving and critical-thinking skills • Excellent organizational and time-management skills, with the ability to prioritize and manage multiple projects. • Experience working with R, Python, SAS, or other statistical programming languages • Proficiency with databases and data retrieval, including SQL, Snowflake, Spark and REST APIs
• Flexible work arrangements • Professional development opportunities
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