Data Analyst – Customer Success

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🕒 6 days ago

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Viaduct

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 Series B on 2024-06

Automotive • Artificial Intelligence • SaaS

Viaduct is an AI platform designed to assist automotive original equipment manufacturers (OEMs), fleets, and suppliers in reducing quality costs and implementing predictive maintenance strategies at scale. By processing over 100 billion miles tracked via telematics and more than 100 TB of data monthly, Viaduct enables quality and maintenance leaders to minimize warranty expenses, predict vehicle health, and enhance preventative maintenance routines. The platform provides insights to identify high-risk vehicles early, aiding in servicing and maintenance before roadside failures occur. Viaduct offers various pricing plans tailored to different data needs and team sizes, supporting scalable and customized analytics solutions.

📋 Description

• Support the Customer Success Analytics team by providing technical expertise to Engagement Managers • Answer analytics questions and improve the code base • 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 • 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 • Develop rapport with the customers that you support • Support customers on a daily basis to deliver value • Improve the onboarding process for future hires • Present about yourself at 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• 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