Data Engineer (Analytics)
NavaFull Time
Junior (1 to 2 years)
Candidates should possess 5+ years of experience in data or product analytics roles at a high-growth or scaled technology company, demonstrating expert proficiency in SQL and Python. Strong experience in building and maintaining a modern data stack, ideally owning it from the ground up, is also required.
As a Business Operations & Data Analytics role at Decagon, you will establish a modern data stack from the ground up, including developing core data models and owning the tool stack. You will own business intelligence reporting across the company, including developing dashboards to track ongoing KPIs and conducting ad-hoc analyses to address high-priority questions. Furthermore, you will collaborate with cross-functional teams, particularly Product and Engineering, to understand business priorities and initiatives, ultimately helping to shape strategy and roadmap, and partner closely with Executives, Product, GTM, and Finance to uncover meaningful trends on strategic initiatives, product analytics, and business performance to drive key strategic decisions.
Generative AI solutions for customer support
Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for various clients, from large enterprises to growing startups. Their tools automate complex data processes, helping businesses identify themes, detect anomalies, and extract valuable insights from customer interactions. The AI-powered assistance offered by Decagon.ai takes care of routine tasks and learns from human agents, which boosts productivity and enhances customer satisfaction. Unlike many competitors, Decagon.ai focuses on deeply integrating its scalable solutions with clients' internal systems, ensuring smooth automation and support. The company operates on a subscription-based model, allowing clients to access their AI tools and support services. Notable clients include Bilt, Fourthwall, and Vanta, who utilize Decagon.ai's technology for automating ticketing, supporting creators, and improving pre-sales processes.