JUUL's mission is to improve the lives of the worlds one billion adult smokers by driving innovation to eliminate cigarettes. JUUL is the number one US-based vapor product. Headquartered in San Francisco & backed by leading technology investors including Tiger Global, Fidelity Investments & Tao Invest, JUUL Labs is disrupting one of the worlds largest & oldest industries.
Were an exceptional team with backgrounds in technology, healthcare, CPG & biotech, & were growing rapidly to deliver on our mission. Were actively looking to hire the worlds best scientists, engineers, designers, product managers, supply chain experts, customer service & business professionals.
ROLE AND RESPONSIBILITIES:
Producing & distributing a physical product at a global scale, while at the same time setting standards in innovation is a difficult task. To achieve this goal at JUUL, we employ a data-driven approach using our cloud-based data platform as the basis.
As a Senior Analytics Engineer within the Data Team, you will be part of the group responsible for our data platform. Specifically, your responsibilities will include:
- Work with data scientists & analysts to determine data model requirements
- Ingest internal & external data sources & transform them into clean & abstracted data models
- Build semantic layers in BI tools (e.g. Tableau & Looker) to help analysts build dashboards on top of the data
- Work with data scientists to productionize data science workflows
While you will be part of the Analytics Engineering group & learn from highly-skilled & like-minded people, you will also be assigned & closely work with a group of data scientists & data analysts who focus on solving problems of a specific business area (e.g. Product, E-Commerce, Supply Chain). This enables you to see & be part of the end-to-end analytics & data science workflows.
PERSONAL AND PROFESSIONAL QUALIFICATIONS:
- 6+ years experience in an analytics/data engineering or systems analyst role
- Advanced SQL & Python skills allowing you to write ETL jobs
- Experience managing complex interdependent pipelines
- Proficient in data visualization, dashboarding & analytical report building (Tableau, Looker, Mode, or similar)
- Understand fundamental concepts of good data modeling such as entities, relationships, normalization & unit testing
- Proven critical thinking & analytical problem-solving skills
- Ownership mentality - you get things done & deliver high quality output without having to be told what to do
- Strong track record of delivering outcomes in high-pressure, fast-paced environments
- Experience communicating & working with business analysts, data scientists, product managers & business stakeholders alike
- Familiarity with modern cloud data infrastructure (GCP, AWS)
- Experience in a fast-growing start-up or leading enterprise tech company (e.g. Amazon, Apple, Uber or similar)
- Ability to navigate & live in a modern data engineering environment
- Bachelors degree or higher from a top university in a quantitative field
JUUL LABS PERKS & BENEFITS:
- A place to grow your career. Well help you set big goals - & exceed them
- People. Work with talented, committed & supportive teammates
- Equity & performance bonuses. Every employee is a stakeholder in our success
- Boundless snacks & drinks
- Cell phone subsidy, commuter benefits & discounts on JUUL products
- Excellent medical, dental & vision benefits
- Location. Work in London or New York, two of the worlds greatest cities
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