Data Analyst (Attribute Enrichment)

Challenges you will tackle

• Perform data exploration on e-commerce traffic using Python and SQL to understand user behavior, suggest opportunities to improve our Attribute Enrichment solutions, and implement pipelines for data delivery.
• Formulate hypotheses and select appropriate metrics for AB testing, in order to gather insights and make data-driven decisions.
• Ideate and deliver analytical insights to merchandisers to enable effective decision-making and provide the best possible results during evaluation.
• Conduct website analysis for potential new customers to identify opportunities for the Attribute Enrichment team.
• Evaluate the current customer's catalog, focusing on identifying and rectifying inaccuracies and redundancies in annotations.
• Help the Customer Success team communicate with merchandisers, fulfil their needs during integration, and provide the best results for online metrics.
• Collaborate with the Customer Integrations team to make sure customers are integrated without bugs and with sufficient tracking to power data pipelines and models.

Requirements

• Required Stack: Python, SQL, BI tools, Excel, Google Analytics.
• You are proficient both at SQL (any variant) and in exploratory data analysis with Python (standard library, pandas & numpy, data visualization libraries).
• You are willing to write high-quality Python code to optimize data delivery pipelines and develop and maintain effective analytical tools to provide actionable insights to merchandisers.
• You are proficient in using math & statistics.
• You have experience with conducting A/B tests.
• You are an excellent communicator with the ability to translate business matters into a technical language and vice versa.
• You are proficient in BI tools (data analysis, building dashboards for engineers and non-technical folks).
• You are excited to write pipelines with Python.

Big plus is

• Practical familiarity with the big data stack (Spark, Presto/Athena, Hive).

Benefits

• Unlimited vacation time — we strongly encourage all of our employees take at least 3 weeks per year.
• A competitive compensation package including stock options.
• Fully remote team — choose where you live.
• Work from home stipend! We want you to have the resources you need to set up your home office.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Parental leave for qualified employees.
• Work with smart people who will help you grow and make a meaningful impact.
• Compensation: base range of $80-110K per year + stock options.