At Shipt, we are transforming the grocery shopping experience and giving time back to consumers. Shipt shoppers handpick fresh groceries and household essentials, then deliver them to your door in as little as one hour.
We're looking to add an Analytics Lead, Product to the Data Science team to help turn in-app shopper behavior into valuable insights and influence our product development and strategy. We have rich, complex datasets collected in a multi-sided marketplace and our team performs a wide variety of analytical tasks of those datasets, ranging from designing and evaluating A/B tests, conducting ad-hoc research, creating dashboards, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
Lead Product Analytics for experimentation, insights, and dashboarding
Mentor a team and provide them with technical guidance and code reviews
Develop a thorough understanding of user behavior using large clickstream event data and interpret them as they relate to shopper behavior and product development
Work closely with the Product and Engineering organizations during all points of a feature's life cycle: event instrumentation, performance analysis, and A/B testing
Explore data to find actionable insights and make product recommendations through funnel analyses, long-term trends, user segmentation, models, and related techniques
Design dashboards and data visualizations to communicate meaningful metrics to different audiences within the business
Find opportunities for improvement across the business and assist in decision-making across teams
7+ years of experience with data analysis and turning data into insights and recommendations
Strong written and verbal communication skills and experience interfacing with high level stakeholders.
Strong SQL skills are required (we use Snowflake, Postgres and Redshift)
Experience with a statistical scripting language is required (e.g., R or Python)
Experience with a Business Intelligence tool is required (e.g., Tableau)
Experience with experimentation and hypothesis testing in a business setting
Experience with event instrumentation is a plus
Experience with mobile app metrics (CTR, sessions, re-engagement) is a plus
A Bachelor's Degree in a quantitative field or commensurate experience.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.