Senior Reliability Data Analyst

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which helps to digitize the world of physical operations, providing visibility and empowering entire sectors of our economy to become more safe, efficient, and sustainable. Founded in San Francisco in 2015, we now employ more than 2,000 people globally, have 2.3 million IoT devices deployed globally, and collect more than 85 billion minutes of video footage and 4.6 trillion data points annually.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including video-based safety, vehicle telematics, apps and driver workflows, equipment monitoring, and site visibility. As part of a newly public company, you’ll have the autonomy and support to make an impact as we build for the long term. 

Recent awards we’ve won include: 

Best Place to Work by Built In 2022

Deloitte Fast 500 Companies

IoT Analytics Company of the Year in 2022’s IoT Breakthrough Winners

Every year, we partner with our customers to deliver outcomes like conserving millions of gallons of fuel, saving millions of dollars, and creating positive environmental change. As more customers connect to our platform, our data grows, our AI models get smarter, and our opportunities expand.

About the role:

Samsara’s Hardware Quality team enables an exceptional customer experience by building reliable hardware, identifying opportunities to improve customer experience, and engaging cross-functionally to resolve key issues. In this role, a successful candidate will create dashboards, queries, data automation tools, and models to provide insight into the health of Samsara's IoT products, from manufacturing to field performance. 

In this role, you will: 

• Create and maintain dashboards, queries, and models that bring visibility to manufacturing data and field health for Samsara products
• Perform a variety of exploratory analyses that help us understand the health of our products and identify opportunities for improvement and optimization
• Partner with hardware, firmware, support, product, and manufacturing teams to understand broad problem statements, and translate those broad problem statements into specific data pipeline/visualization plans
• Take a practical approach to data analytics, referencing realistic thresholds and cross-referencing with field examples to ensure data is high quality.
• Communicate results and gather feedback to technical and non-technical cross-functional teams
• Build robust, flexible, and automated software tools to enable complex analysis of real-time fleet
• Contribute to the automation and standardization of our data pipelines
• Build visualizations to effectively communicate results
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 7+ years experience as a data analyst or related role
• High level of proficiency using SQL, Python, and Tableau
• BS or equivalent coursework in quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
• Expert understanding of reliability analytics and methodologies
• Apply statistical analysis to test (accelerated life) and field (life) data to inform reliability modeling/analyses and associated corrective actions
• Answer complex questions on customer usage and behavior to enable proactive monitoring
• Experience with data manipulation and processing, preferably in SQL or Python (e.g., using PySpark or Pandas)
• Experience building statistical and other analytical models, preferably in Python (e.g., using scikit-learn, NumPy, etc.)
• Work closely with Reliability and Design engineers to create/interpret/validate numeric models of fielded and in-test products

An ideal candidate also has:

• Experience in ensuring the integrity of data sources
• Familiarity with Databricks 
• Familiarity with IoT products and data
• Solid understanding of statistics (Weibull distribution, Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, etc.)
• General knowledge of physics and engineering principles
• General Knowledge of data pipelining 
• Experience with data visualization techniques

At Samsara, we welcome everyone regardless of their background, race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, etc. We depend on the unique approaches of our team mem