BI Developer

Description

Paragon is a fast-growing cybersecurity startup with a groundbreaking product. If you are a sharp-minded product analyst, cyber-savvy, and looking for an exciting position that will allow you to have a direct impact on an amazing product - Paragon is looking for you!

We are seeking a talented and motivated BI Developer with strong analytical thinking to join our growing product analytics team. The BI Developer will play a critical role in the development and success of our products by developing and leading our data pipelines and analytics infrastructure, working closely with product managers, R&D engineers, Architects, and different business stakeholders in the company.

Responsibilities:

• Own multiple aspects of the company’s data pipeline, including creating and maintaining ETLs, data modeling, data quality and integrity, alert creation, etc.
• Create and optimize database schemas to support product analytics and business needs.
• Design, build and maintain high-level dashboards related to the company’s product analytics efforts.
• Help define events to track users’ usage of the products and the performance of the company’s products.
• Analyze data to identify trends, patterns, and insights regarding our products and to support product and business recommendations.
• collaborate with product managers, R&D and business stakeholders to inform product development and strategy.
  
  

• 3+ years of working experience as a BI developer or Data Engineer in a product-led company (Cyber SaaS experience is a significant advantage)
• Demonstrated expertise in designing, constructing, and maintaining efficient data pipelines.
• Strong SQL and Python skills
• Experience with visualization tools (preferably Tableau)
• Proven experience in leading data-driven projects from end to end
• Independent and fast learner, with excellent communication skills
• Tech-savvy, with strong technical skills
  
  

• Experience with on-prem data solutions - big advantage
• Experience with EFK stack
• Familiarity with Kubernetes
• Good understanding of the intelligence collection world
• BA / B.Sc. in a quantitative, business, or technical related field