#ModernDataJobs - February 24
Edition 50: Exciting roles in data with teams using the modern data stack ✨ (Bonus: Free Masterclass invite 🔥)
Hi,
The newsletter is back after a small-ish break! 🤩 But we're back sharing some amazing roles on teams that are building on the #ModernDataStack. If you know someone who is looking out for their next role in data, do share this list with them. ⚡️
P.S. Don’t miss checking out the invite to the masterclass on how a $3.5B startup broke out of the "Data as a Service" trap and made self-service real through reusable data products.
Spreedly’s data team is hiring a Business Intelligence Analyst who can help build and streamline Spreedly's internal capacity to simplify a complex environment with billions of data points. Reach out to Claire Harris if you are interested in this role.
The Data Governance and Infrastructure group at The New York Times is looking for a Staff Software Engineer, Data Governance to build and maintain the platform that enables data producers and data consumers to create best-in-class data products. Reach out to Daniel O'Donnell to learn more.
Lightdash is looking for an Analytics Engineering Advocate to become the voice for their users’ questions related to Lightdash, best practices in BI and analytics engineering. Reach out to Hamzah Chaudhary if this role interests you.
Apollo is looking for Senior Business Intelligence (BI) Analyst to implement scalable analytics infrastructure from their highest-value datasets, converting raw data into canonical models and insights that fuel business decision-making all the way up to the c-suite. Reach out to Mike Angelo to learn more.
The data team at Firefly Health is looking for Data Engineer to design and implement the data infrastructure that can support their healthcare technology. Reach out to Otis Anderson to learn more.
Zello’s data team is hiring for Analytics Engineer and Data Analyst to provide data access and insights to support the data needs of various business units. Reach out to Raphael Varieras to learn more.
Masterclass Invite: How a $3.5B startup broke out of the "Data as a Service" trap and made self-service real through reusable data products
Chargebee's data team was handling over 100+ tickets every month. The more tickets they answered, the more tickets they got.
Within 18 months, the Chargebee data team reduced their ad-hoc tickets by 50% and increased self-serve significantly, with analysts reporting at least 5-6 hours saved every month. They did this by fundamentally shifting their culture from a data service culture to building data products.
In this Masterclass, the Chargebee team will reveal their tactics for using ticketing logs, conducting research to build a “data products” strategy, and how they shifted the data team culture from servicing data requests to shipping “data products”. 🚀
Join us for a masterclass with data leaders from Chargebee on March 1 (Wednesday) at 11:00 am ET. →
See you next week!
Cheers,
Surendran