Data Analyst Recent Grad 2021

Before you read on, take a look around you. Chances are, pretty much everything you see has been shipped, often multiple times, in order to get there. E-commerce and parcel shipping volumes are exploding but so are customer expectations about shipping speed and cost. Managing shipping and logistics operations to meet increasingly exacting demands is an extremely hard endeavor, especially for SMBs who can be left in the dust by larger and far more sophisticated competitors. But this does not have to be so.
At Shippo, our goal is to level the playing field by providing businesses with access to shipping tools and terms that would not be available to them otherwise. We lower the barriers to shipping for businesses around the world, and move shipping from a pain point to a competitive advantage.
Through Shippo, e-commerce businesses, from fast-growing brands to mom-and-pop shops are able to connect to multiple shipping carriers around the world from one API and dashboard, and seamlessly run every aspect of their shipping operations, from checkout shipping options to returns.
Join us to build the foundations of something hard yet meaningful, roll up your sleeves, and get important work done everyday. Founded in 2013, and funded by top-tier investors likeD1 Capital Partners, Bessemer Venture Partners, Union Square Ventures, Uncork Capital, VersionOne Ventures, FundersClub, we are a fast-growing and proudly distributed Unicorn with hubs in San Francisco and Austin. We are also featured in Wealthfront’s Career Launching List  and Forbes’ Cloud 100 list of fast growing startups.
About the RoleAs a Data Analyst,  you will define, identify, and execute insights empowering our customers to improve operational efficiencies and provide a world-class shipping experience. This will encompass identifying and parsing data, combining data from various sources, conducting exploratory analysis, identifying and visualizing trends, building and validating models, retraining and improving model performance, and getting it ready for deployment in production. The Intelligence team contains data analysts, data scientists, and software engineers responsible for creating and implementing state-of-the-art machine learning algorithms. The primary responsibility of this role is to build analytical tools driving insights and optimizations.  Experience with data science and BI tools, and a keen analytical mind is key for success in this fast-paced environment.

Responsibilites

• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data 
• Work across disparate, sometimes disconnected data sources to build and present evidence-based stories
• Design research approaches to investigate trends, patterns, and relationships using statistical methods and tests to reach actionable conclusions 
• Respond to ad hoc analytical questions from key partners including the Executive Team
• Proactively solve problems and identify trends and opportunities for a wide range of internal stakeholders
• Partner with Data Scientists to help with model development and testing.

Requirements

• Graduate degree in Analytics, Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or other Quantitative Field of Study
• Expertise in  exploratory data analysis, statistical analysis, and testing, and model development using Python and SQLAbility to work efficiently at scale with large data sets
• Ability to handle multiple mission-critical projects simultaneously while meeting deadlines
• Exceptional problem-solving skills
• Excellent oral and written communication skills

Benefits and Perks
Medical, dental, and vision healthcare coverage for you and your dependents. Pets coverage is also available!Flexible policy for PTO and work arrangement 3 VTO days for ShippoCares volunteering events $2,500 annual learning stipend for your personal and professional growthCharity donation match up to $100Free daily catered lunch, drinks, and snacksFun team events outside of work hours - happy hours, “escape room” adventures, hikes, and more!