The Data Analyst in Customer Success at Viaduct will analyze data, answer analytics questions, and improve the code base. Responsibilities include owning projects, creating analytic dashboards, and maintaining data pipelines, with a focus on enhancing customer value through informed data insights.
About Us
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.
What We Are Looking For
We are looking for well-rounded analysts, who have the following skills and expertise in several of the listed domains. This role will support the Customer Success Analytics team by providing technical skills and support to Engagement Managers, answering analytics questions, and improving the code base.
Expected Skills
- 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 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
Expertise in the following:
- 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
- Experience with time series data analysis on large amount of data
- 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
- Experience with developing, monitoring, and iterating on production ML models (Machine Learning) a plus and a huge differentiator
- Automotive or telematics data experience a plus
About the Role
Day 5
- Learn about Viaduct’s history and mission
- Get to know every team member
- Understand Viaduct’s system architecture
- Deep dive into the nuances of vehicle data
- Attend our weekly company-wide meeting and engineering tech talk
Day 30
- Understand the product roadmap and the pain-points of our customers
- Contribute new features to the product
- Refactor code, improve test coverage, or automate a manual process during an engineering hack day
- Be familiar with the day-to-day workflow of your peers
- Develop rapport with the customers that you support
Day 90
- 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!
Top Skills
Python
SQL
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