Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should possess 4+ years of demonstrated programming experience in Python and SQL, along with a formal and rigorous software engineering practice. They should also be familiar with the tools in PartnerStack’s tech stack, including PostgreSQL, Google Cloud Platform, Segment, Apache Airflow, Looker, Pendo, and Python. A strong analytical and business-outcome mindset, experience leading cross-functional stakeholders, and the ability to thrive in a fast-paced and ambiguous environment are essential.
The Senior Analytics Engineer will define and evolve PartnerStack’s analytics engineering standards, build tools and infrastructure to democratize data access, lead data projects from ingestion to reporting, adopt software engineering best practices, support enablement efforts through documentation and training, and help shape the data model at PartnerStack to advance the company’s analytics strategy.
Platform for managing partnership programs
PartnerStack helps businesses grow by facilitating partnerships through its platform. This platform allows companies to easily launch and manage various types of partner programs, including affiliate marketing, referral partnerships, and reseller arrangements. Users can automate tasks such as tracking performance, managing payouts, and onboarding new partners, making it accessible even for those without extensive experience in partnership management. PartnerStack serves a wide range of clients, from small startups to large enterprises, and operates in the growing partnership management software sector within the software-as-a-service (SaaS) industry. Unlike many competitors, PartnerStack focuses on providing a user-friendly experience and a subscription-based model that ensures continuous improvement of their services. The company's goal is to empower businesses to leverage partnerships effectively to drive sales and expand their market reach.