Offer summary

Qualifications:

3-6 years of experience as a full-time data analyst, Proficient in Python and SQL for data analysis, Experience with time series data analysis and large datasets, Familiarity with machine learning models and data pipeline maintenance..

Key responsabilities:

Support the Customer Success Analytics team by answering analytics questions

Build analytic dashboards to help customers understand their data

Contribute to product features and improve code quality

Engage with customers to deliver value and enhance their onboarding experience.

Job description

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!

Required profile