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Analytics Engineer/Data Analyst at wildly popular kid's clothing line

New York, NY
Our client is a vertically integrated ecommerce brand that is changing how parents shop for kids clothes, and are on our way to building a break-through brand that can be part of millions of people’s lives. 

They are looking for a data hacker/scientist/engineer who wants to help build the brand, with an emphasis on enabling the company to analyze and gain insights from the data, work with other teams across the company, and help develop new dashboards and reports to push the business forward. Data analysis is used in the metric and KPI planning stages, throughout the development cycle by analyzing A/B testing, and in post analysis and ongoing observation.

WHAT YOU'LL BE DOING:
    • Supporting a customer focused team such as new customers or acquisition
    • Working with other engineers to help build and maintain the analytics infrastructure from raw data through to automated reporting and internal tools
    • Proactively identifying areas of opportunity in the product and the business
    • Enabling your group, including partner teams across the company, to access and leverage the data for planning and quantitative analysis
    • Help to make data driven decisions and assist teams with relevant data
    • Setup experiments and perform statistical analysis on the outcomes
WHO YOU ARE:
    • A great communicator that loves working with a variety of teams
    • Product and customer-focused, bringing actionable data that helps the company improve the customer experience in a high-impact way
    • Someone that understands the importance of documentation
    • Extremely comfortable processing and exploring data using SQL
    • Experience with Looker / LookML or a similar tool to model data and surface it to stakeholders
    • Enthusiastic about visibility, reporting, and making data driven decisions
    • A leader that can bring previous experience in data analysis to the table
    • Someone with analysis experience in python or R; past experience with notebooks like Jupyter is a bonus
    • Someone with experience optimizing SQL
    • Someone with past analytics experience in ecommerce operations, onsite event tracking / modeling, marketing performance, customer service, or subscription models is a bonus
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