September 28
🇺🇸 United States – Remote
💵 $40 / hour
👨🎓 Internship
⚪️ Entry-level
📊 Analytics Engineer
🦅 H1B Visa Sponsor
• As an Analytics Engineering intern, you will build systems that can model data in a clean, clear way. • These will consolidate multiple data sources and enable both internal and external stakeholders to answer questions on an ongoing basis. • Success in this role requires the ability to take on challenging problems and design & develop an amazing solution with the mentorship of an experienced team member. • You will build the tools which will allow some of the largest brands in the world to better understand their customers and reimagine the shopping experience.
• Solid foundation of SQL skills and understanding of relational and non relational databases • Experience with Python • A problem solver at heart - you love to stitch together several data sources and build systems that allow users to access consolidated insights in a streamlined and intuitive way • Knack for creative problem solving and innovation - you aren’t afraid to explore novel approaches outside of the status quo • Passion for tackling challenging and ambiguous problems in a fast-paced environment • Ability to effectively communicate across a variety of technical and nontechnical audiences • Desire to grow your skills set through collaboration, open communication, direct feedback and knowledge sharing • Data processing and understand the difference between ETL and ELT • Data warehouses (e.g. AWS, Azure, Snowflake) and data visualization tools (e.g. Tableau, Grafana) in either a classroom or hands-on setting
• 1:1 mentoring: we will pair you with an experienced engineer to guide you through your internship and provide you with the coaching and consistent feedback to help you grow. • Working on real projects that impact millions of users: forget busy work or coffee runs, our interns are given meaningful projects and many start pushing production ready code in their first week at the company. • A collaborative environment: we believe that small, nimble, cross functional teams are the best way to build the kind of products that users can’t imagine life without. • Professional development opportunities: when you aren’t working on your project, you’ll have the opportunity to meet and network with senior leaders and also give back to the local community.
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