About Leap:

Leap is building the world's largest network of branded retail stores – powered by data, systems, and scale. The Leap Platform enables brands to deploy stores that work in concert with ecommerce more rapidly and at significantly reduced cost and risk. Brand stores powered by Leap bring modern brands to life with compelling, immersive customer experience and data driven operations. 

At Leap, our diverse, growing team is excited by the opportunity to power the next generation of leading consumer brands with a vibrant presence in local communities throughout the country. We're one of the fastest growing companies in the retail/ecommerce space - since launch we've powered stores for dozens of brands, and we're adding more brands and stores each week.

Our brand customers are modern brands who lead or aspire to lead their categories today and tomorrow, and *outstanding* people are literally at the core of our product. Our organization is composed of a diverse range of talented individuals and teams. With functions like Real Estate, Store Design & Development, Retail Operations, Marketing, Engineering, Product Management and Data Science, we're a truly unique company and our shared ambitions and core values tightly align and drive us to succeed.

Our staff are what make our organization so special and honoring our culture and values as we hire, onboard, engage, develop and support our teams is paramount.

Come take this leap with us. Your ideas, thinking, and voice are wanted.

Mission For The Position:

The Analytics Engineering team effectively and sustainably provides data solutions and tools across the organization. We integrate, transform, and improve volumes of data at the project or enterprise level for streamlined processes, greater efficiencies, and smarter, more informed decision-making. This team is high-energy, dynamic and in a business-critical domain space. This role is an opportunity to make a real difference in the data space, and we need confident, experienced people eager to bring in solutions, with a demonstrated ability to learn fast and make that happen.

Key Responsibilities:

You'll work closely with our business teams to make sure the most awesome, high-potential brands join the Leap platform. You'll also help analyze our existing brands and store operations to make sure we're maximizing and optimizing their performance. You'll pair regularly with analytics and engineering to make sure that common analyses get automated, so that we can spend our collective brainpower on the new and unusual.

What You'll Do:

• Support the data needs of Analytics, Machine Learning, and Business.
• Lead technical initiatives by architecting the solution and collaborating with team members and peers to execute the solution
• Architect, design, implement and maintaining multi-layered SQL and Python processes
• Design flexible and scalable data models
• Enhance the tooling and frameworks to support complex Extract Transform Load (ETL) processes
• Troubleshooting discrepancies in existing databases, data pipelines, warehouses, and reporting
• Function as mentor and adviser for team members
• Advise on Best Practices and innovative designs/solutions

Our Ideal Candidate Has:

• A Bachelor’s degree or Masters in Computer Science, Engineering, or equivalent experience.
• 5+ years of previous experience in data engineering with a focus on database related technologies
• Expert technical knowledge of SQL and database related technologies.
• 2+ years of experience working with Cloud Data Warehouse Technologies such as BigQuery, Snowflake, or Redshift.
• 1+ years of experience working with Python, dbt, Airflow or other workflow orchestration frameworks.
• Deep understanding of relational database modeling principles and techniques.
• Experience architecting, designing, and implementing ETL solutions with peers and stakeholders.
• Experience with data streaming technologies (Kafka, Kinesis, Apache Flink, Apache Beam, etc).
• Experience with data visualization technologies such as Looker, Tableau, or Microstrategy.
• Experience supporting organizations using Machine Learning.

Outcomes & Measurements of Success:

• Go to our stores, ask questions, try on products, buy products, return products, and experience being a customer first-hand
• Plunge into our existing databases to answer straightforward analytics questions
• Pair with our engineers to understand our existing ETLs and data 
• Communicate constantly with an encouraging, supportive team

Leap EEO Statement:

However you identify, whatever your path to get here; Leap celebrates diversity and is committed to maintaining a safe, rewarding, and inclusive environment where Leapers thrive individually and as a team. To achieve our mission, building the world's largest network of branded retail stores – powered by data, systems, and scale; we need to work hard to foster a diverse community to support the brands and customers we serve. These aren't just words; this is who we are. We know that our differences are what make our organization special and are paramount to our culture. Your age, skin color, beliefs, sexual orientation, nationality, disability, parental status, vet status, gender identity are valued.