Data Analyst (Merchant Intelligence)

Merchant Intelligence Team

An important part of our product is the customer dashboard that helps merchandizers to analyze shopping behavior and manually adjust algorithmic results. The goal of the Merchant Intelligence team is to:

• Help merchandizers achieve their ecommerce goals, increasing satisfaction with their sites and retention of customers.

• Provide insights to merchants they can't get anywhere else.

• Become a critical point of merchant planning, decision making, and analysis so we become a sticky part of their organization.

Challenges you will tackle

• Enhance the dashboard experience for merchandizers by building analytics that provide actionable insights to improve e-commerce KPIs.

• Perform data exploration and research user behavior.

• Implement end-to-end data pipelines to support real-time analytics for essential business metrics.

• Take part in product research and development, iterate with prototypes and customer product interviews.

Requirements

• You are proficient in BI tools (both data analysis and building dashboards for engineers and non-technical folks).

• You are keen to not just prepare more data, but to think critically about how that data can deliver valuable insights and drive impactful decisions for non-technical end users.

• You are an excellent communicator with the ability to translate business requests into technical language and vice versa.

• You are excited to leverage massive amounts of data to drive product innovation and deliver business value.

• You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas & numpy, data visualization libraries)

• Practical familiarity with the big data stack (Spark, Hive, Databricks).

• You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying and focusing on relevant features and metrics.

• You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.

• You get excited to hear feedback from customers and figure out potential solutions.

• You're familiar with math statistics.

• Stack: python, SQL, pyspark, clickhouse, cubejs, docker, git

Benefits

• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year

• 🌎 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

• 👪 Maternity & Paternity leave for qualified employees

• 🧠 Work with smart people who will help you grow and make a meaningful impact

• 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results

• 📈 Stock options - offered in addition to the base salary

• 🎉 Regular team offsites to connect and collaborate