About the team:

Data and Analytics is a critical team within Marketing. Our mission is to enable revenue performance by providing marketing and sales teams with the insights, tools, infrastructure and consultation to make data-driven decisions. We are a scrappy and growing team that loves all things data! The team will be composed of data engineers, analytics managers and data scientists. We are passionate about leveraging world-class data and analytics to deliver a great customer experience.  

Our team promotes an agile, collaborative, supportive environment where diverse thinking, innovative design, and experimentation are welcomed and encouraged.

This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York).

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a team player: Working on our partners requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.

In this role, you will:

• Develop and maintain marketing databases, datasets, pipelines and Samsara’s Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation and analytics.
• Manage critical data pipelines to enable our growth initiatives and advanced analytics. Manage the SLAs for those data pipelines and constantly improve efficiency and data quality.
• Facilitate data integration and transformation requirements for moving data between applications; ensuring interoperability of applications with data mart and CDP environments.
• Develop and improve the current data architecture, data quality, monitoring and data availability.
• Identify data needs from broad stakeholders, understand requirements for metrics and analysis, and build efficient and scalable data products to enable a data-driven marketing approach.
• Write sophisticated yet optimized data transformations in Python/SQL to generate data products consumed by customer systems and Analytics, Marketing Operations, Sales Operations teams.
• 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:

• 3+ years of working experience in a data engineering or data engineering adjacent role.
• Excellent Python and SQL knowledge with strong hands-on data modeling. 
• Experience with data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
• Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions. 
• Comfort in working with business customers to gather requirements and gain a deep understanding of varied datasets.
• Familiarity with customer, marketing and/or web data. 
• Experience integrating data from core Sales and Marketing platforms (e.g. Marketing Automation, CRM, and web analytics).
• Self-starter, motivated, responsible, innovative and technology-driven individual who performs well both independently and as a team member.
• A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non-technical audiences.

An ideal candidate also has:

• Knowledge of Marketo, Salesforce.com and Google Analytics.
• Experience working with CDPs such as Segment, Lattice, Blueshift, Lytics or Adobe Real-time CDP.
• Experience with data visualization tools and packages (e.g. Looker, Domo, Tableau, MixPanel).
• Familiarity with Marketing Technologies (MarTech stacks).
• Data Science, machine learning or predictive analytics experience.