Analytics Engineer

Shift5 is seeking a full-time Analytics Engineer to conduct full lifecycle data analysis to include requirements definition and digging into large data sets. In this role you will be responsible for building data models across data sources that are customer and industry specific. These models will be leveraged by our Data Analysts and other organizations throughout the company. You will operate in a team-based environment with Field Engineers, Data Engineers, Data Scientists, Product Managers, and Sales Account Managers. Successful candidates for this position will have a bias toward action and enjoy building a clean data repository with an accompanied documentation solution that clearly describes the lineage and catalog. If you are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive customer value creation, we’d love to hear from you!

Shift5 is a rapidly growing early-stage cybersecurity startup. We specialize in data collection, insights and cybersecurity technology for a wide variety of operational systems. To put it simply, we defend planes, trains and tanks from cyberattack. We are a collaborative, passionate and driven cadre of cyber security experts. Our engineers are multidisciplinary and our team is dynamic. We’re a growing company focused on helping our customer’s fleets run smarter and safer by capitalizing on mountains of data resting right above the wheels. Come join us.

In this role, you’ll be expected to:

Perform exploratory data analysis for large and complex data sets to provide a domain model to leadership and stakeholders
Build automated analytics data pipelines on top of Shift5 data platform to produce reusable data products using engineering best practices
Use data to provide value to stakeholders by providing analytics to support strategic and tactical objectives
Maintain data documentation and train stakeholders on the data domain

We’re looking for someone who is/has:

3-5 years of experience as an Analytics Engineer or in a similar role
BS in Computer Science, Mathematics, Computer Engineering, MIS, or equivalent practical experience required
Strong SQL experience as well as Python
Proficiency with creating data products from raw data via analytics engineering best practices in a modern data stack
Experience integrating api-based services and software into data pipeline
Demonstrated ability to communicate stakeholders' needs and convert into actionable insights
Ability to thrive in a team-oriented culture, delivering a significant individual contribution while collaborating with and strengthening teammates
Must be able to work with remotely distributed teams and should expect up to 30%% travel to attend customer on-site visits, internal team travel, and one-off events.
US Citizenship
Active (or ability to hold/obtain) a US Government Top Secret security clearance

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