Northbeam is building the world’s most advanced marketing intelligence platform for growth. Our attribution modeling technology and customizable dashboards provide our customers with a unified view of their e-commerce business data. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably.
Northbeam’s team and customer base are growing quickly, and it’s essential that we invest in the right people & systems to scale our business. As a Data Analyst, you will play a pivotal role in leveraging data to drive sales and marketing efforts and to enable our customer success. You’ll be surrounded by a team that is data-smart to begin with and you’ll help elevate the customer and prospect experience by taking it to the next level.
Our business has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced analyst to accelerate their growth and contribute to a rapidly-scaling company.
Northbeam is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us!
As a Staff Data Analyst at Northbeam, you’ll solve both proactive and reactive data challenges, helping our sales and marketing teams share insights with prospects and our network. You will also support our customer success team and internal engineering teams with data reconciliation, auditing, or root cause analysis.
Marketing attribution for the direct-to-consumer (DTC) space involves sifting through a complex network of touchpoints and important infrastructure to keep everything running smoothly. In addition, customers have access to data from their ad platforms and order management systems, such as Shopify and Amazon. Being able to clearly communicate the trends and insights found in Northbeam’s wealth of data will support our sales and marketing teams’ efforts to engage with new customers. Additionally, when existing customers review their own data, they may have questions about how to properly compare data from two or more data sources. Being able to identify patterns and explain anomalies between datasets will be key in this role.