Data Analyst - Customer Success

Viaduct•Columbia, SC

14h•Remote

About The Position

At Viaduct, we are developing an end-to-end machine learning platform to empower connected vehicle makers to build safer, more intelligent, and personalized vehicles. Our platform increases the accessibility and actionability of connected vehicle data for automakers and their partners and end-customers. We are a diverse team motivated to solve the hardest problems in the automotive industry. This remote role, open to candidates based in the APAC, EMEA, and Central/South America regions, will support the Customer Success Analytics team by providing technical expertise to Engagement Managers, answering analytics questions, and improving the code base.

Requirements

Skills and expertise across several of the domains listed below
Experience owning a project from design to implementation
3-6 years working as a full-time data analyst
Ability to analyze data, answer questions, and summarize results
Proficient in Python
Comfortable exploring and answering questions with data and SQL
Build analytic dashboards to help customers understand their data
Security and Privacy
Experience with time series data analysis on large amount of data
Experience with developing, monitoring, and iterating on production ML models (Machine Learning) a plus and a huge differentiator

Nice To Haves

Experience with the Kedro framework
Automotive or telematics data experience a plus

Responsibilities

Follow our policy and procedure documents related to security and privacy
Follow the guidelines in the Employee Handbook
Follow the OWASP Top 10 guidelines when implementing and reviewing code
Participate in new hire and annual training for security and privacy
Treat data security and privacy as one of your primary job responsibilities
Report Security Incidents you discover as bugs
Get approval from the Security Team before adding new 3rd party software to our codebase
Explicitly consider security implications when doing PR reviews
Analyzing data to discover trends, root causes, anomalies, and other concerns in order to drive value for the customer
Validating customer concerns and developing solutions, responses, or recommendations
Working with large amounts of data by writing and editing SQL queries
Maintaining and improving data pipelines written in Python, ideally with experience using the Kedro framework
Support customers on a daily basis to deliver value
Improve the onboarding process for future hires
Present about yourself the company-wide meeting and showcase your work at the engineering tech talk
Become involved in the recruiting process and help find more amazing people like yourself!