About the Company:

It’s never been more challenging for shippers to simply know where their ocean freight is, when it will arrive, and why it was delayed. At VIZION, we automatically push the most complete, standardized, and detailed container tracking events to any software system or spreadsheet, so shippers get end-to-end visibility into the freight that drives their business. Our mission is to enhance and optimize world trade by making data more accessible to build tools that empower digital transformation. Vizion’s goal is to be the world's leader in delivering the highest quality data in the easiest-to-use format to the international freight industry.

Our Company Values and Culture:

Simple Honesty, Be a Teacher, and Long-Term Thinking are the values that guide our decision making and are our core operating principles. Vizion is dedicated to building an inclusive and diverse team focused on fostering a culture of Communication, Innovation and High-Performance.

How You Fit In & the Details: 

As the Data Engineer - Analytics, you will be an integral part of the Data Analytics team. We will look to you to lead technical work and projects which enable Vizion to make more and better data-driven decisions. With the broader team, the engineer is responsible for the creation and maintenance of the end-to-end data infrastructure. This encompasses capturing the correct data, designing a data model that fits the needs of our data consumers, and creating the infrastructure to support efficient data processing.

As an early employee, you'll be a key member in building our core infrastructure and have a strong voice in decision-making processes. You'll be focused on Vizion’s data program which supports the core product for our customers, internal business needs, and industry-level analytics — helping to accelerate the digital transformation of supply chain & logistics companies around the world. The mission of this role is to make reliable, well-structured data available for reporting, analysis, machine learning, and data products. While multiple team members will participate in building data models, the Analytics Engineer will take the lead on data architecture, processes, and best practices.

This role will report to our Director of Analytics and will partner with engineering, product, sales, support, and marketing teams. In addition to the above, you will: 

In this role, you will:

● Work within a small team of passionate data scientists, backend/frontend engineers, and data analysts

● Build data pipelines that support the needs of an internal/external facing data product as well as a business-centric data warehouse

● Assist in the architecture and build of the data ecosystem including different components such as relational/non-relational databases and big data stores for an optimal data pipeline

● Build data systems and pipelines required for optimal ETL/ELT of data from a wide variety of data sources using ETL/ELT methods/tools and cloud technologies

● Deliver updates on a regular basis as to the performance of data pipelines, quality of data, and gaps that exist with possible solutions to address

● Help identify better practices, tools, and relevant trends that can positively influence the data operations across the businessBuild for scalability as we rapidly expand our data footprint and systems

● Assist in building algorithms that allow for the quick and efficient retrieval of large amounts of data

● Ensure database security, integrity, stability, and availability

● Develop high-impact data layers

● Partner with data scientists, data engineers and business leaders to rapidly experiment and deploy predictive tools and insights

● Analyze and model data to assist team members and other departments with answering questions about our data

● Maintain the data catalog, a scalable resource to support self-service and single-source-of-truth analytics

● Test, review, modify, and debug new and existing systems

● Become a data subject matter expert, identifying data gaps and mitigation approaches

Basic Qualifications:

● 5+ years of experience in a data engineering role

● 3+ years of programming knowledge with Python

● Strong experience with AWS, Snowflake or similar cloud data platforms

● Ability to analyze data with Python or R

● Advanced knowledge of database design

● Experience building and supporting data collection, data transformation, and data structures

● Sense of humor, team player, good interpersonal skills

● Inquisitive, pragmatic, and exploratory mindset

● Highly proficient in SQL

● Experience or strong interest in data science & machine learning

● Eagerness to pitch in on analysis projects and data engineering tasks when needed

Nice to Have Qualifications:

● Prior startup experience

● Logistics industry knowledge

● Experience with dbt or similar tools

● Experience in an analytics or data science role

● General software engineering skills and experience: infrastructure, data, data engineering