Manager - Data Analytics

February 26

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Super.com

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Super. com is a platform offering significant savings on travel accommodations. By partnering directly with hotels and travel companies, Super. com is able to provide customers with up to 50% off their rates at over 500,000 hotels worldwide. It also offers users a means to manage trips through its app and a rewards system called Super Pay, which gives cashback and credits on bookings. Super. com aims to make travel more affordable and accessible, with a focus on providing exceptional customer service and easy booking processes.

Hotel Booking • Travel Bookings • Artificial Intelligence • Fintech • Ecommerce

201 - 500 employees

🛍️ eCommerce

📋 Description

• About Super.com • We started Super.com to help maximize lives–both the lives of our customers and the lives of our employees. • For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential. • We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. • We are looking for a Data Analytics Manager to join our team. • In this role, your time will be split 35%/65% between individual contributor and people management obligations. • You will own the business relationship and analytics throughput for one of our business lines. • We are looking for someone with 3 or more years of experience as an Analytics or Data Science individual contributor. • The Data Analytics Manager will guide an experienced and knowledgeable team of data analysts & scientists. • You will provide technical mentorship, managerial support in the form of time-off requests and career development planning, and strategic guidance to your team.

🎯 Requirements

• 3+ years as a Data Analyst or Scientist. • Previous working experience as a People Manager • Expert level SQL and highly proficient with Python for data science • Experience modelling and analyzing a high volume of relational and unstructured data • Aligned with hyper-growth and fast-paced culture at Super.com • Great communication across multiple teams and stakeholders, and able to steer multiple important priorities • Bias to action to dive into the data to find a solution to business problems without direct guidance • Enjoyment from working on a team of driven individuals with varying specialities (product, ops, data, engineering) to achieve a common goal • Strong data modeling skills and ETL knowledge • Confidence with peer coding reviews in Git and enjoyment from providing technical mentorship • Strong curiosity and a keen interest in continued learning and teaching • Interest in predominately working with remote peers