Data Analyst – Customer Success

This is a fully remote position, open to applicants in Europe.

📋 Description

• Assist the Customer Success Analytics team by offering technical expertise to Engagement Managers.

• Address analytics inquiries and enhance the existing codebase.

• Familiarize yourself with Viaduct’s history and mission.

• Build relationships with all team members.

• Grasp the architecture of Viaduct’s systems.

• Delve into the intricacies of vehicle data.

• Participate in our weekly company-wide meetings and engineering tech talks.

• Comprehend the product roadmap and the challenges faced by our customers.

• Contribute new functionalities to the product.

• Refactor code, enhance testing coverage, or automate manual processes during engineering hack days.

• Develop strong connections with the customers you support.

• Provide daily customer support to deliver value.

• Enhance the onboarding experience for future recruits.

• Introduce yourself at the company-wide meeting and showcase your work during the engineering tech talk.

• Engage in the recruiting process to help identify exceptional talent.

⛳️ Requirements

• Proven experience managing a project from design through implementation.

• 3-6 years of experience as a full-time data analyst.

• Strong ability to analyze data, answer inquiries, and summarize findings.

• Proficiency in Python.

• Comfortable with data exploration and addressing questions using SQL.

• Ability to create analytic dashboards that assist customers in understanding their data.

• Analyze data to uncover trends, root causes, anomalies, and other issues that drive customer value.

• Validate customer concerns and create solutions, responses, or recommendations.

• Experience in time series data analysis on large datasets.

• Skilled in managing large datasets through writing and modifying SQL queries.

• Maintain and enhance data pipelines developed in Python, preferably with experience using the Kedro framework.

• Experience in developing, monitoring, and iterating on production Machine Learning models is a plus and a significant differentiator.

• Experience with automotive or telematics data is a plus.

🏝️ Benefits

• Adhere to our policy and procedure documents regarding security and privacy.

• Follow the guidelines outlined in the Employee Handbook.

• Implement and review code according to the OWASP Top 10 guidelines.

• Engage in new hire and annual training related to security and privacy.

• Treat data security and privacy as a primary job responsibility.

• Report any security incidents discovered as bugs.

• Obtain approval from the Security Team prior to adding new third-party software to our codebase.

• Carefully consider security implications when conducting PR reviews.