Business Intelligence Engineer

Summary

Join our innovative team as a Business Intelligence Engineer and become an essential contributor in transforming data into actionable insights at Cobalt. You will leverage your expertise in data analytics, visualization, and business intelligence tools to empower teams across our organization. Your work will directly enhance decision-making capabilities, driving business performance and growth. Be part of a collaborative environment where your insights help shape the strategic direction of cybersecurity innovation. The role involves developing, maintaining, and optimizing BI reports, dashboards, and data visualizations using modern BI tools. You will also design and implement robust data pipelines for accurate, timely analytics from multiple data sources.

Requirements

• Proven experience (3+ years) in Business Intelligence, Analytics, or a similar data-driven role
• Strong proficiency with BI tools (Looker, Tableau, Power BI) and SQL for querying and data analysis
• Experience designing and implementing data pipelines and ETL processes
• Ability to communicate complex analytical findings clearly and effectively to stakeholders
• Exceptional analytical skills, attention to detail, and problem-solving abilities
• Excellent written and verbal communication skills in English, suitable for remote team collaboration
• A proactive mindset with a strong interest in leveraging data for continuous improvement and innovation

Responsibilities

• Develop, maintain, and optimize BI reports, dashboards, and data visualizations using modern BI tools such as Looker, Tableau, or Power BI
• Design and implement robust data pipelines for accurate, timely analytics from multiple data sources
• Collaborate closely with business stakeholders to understand data requirements and translate them into clear analytics solutions
• Perform data analysis to identify trends, insights, and opportunities to improve business operations and customer experience
• Ensure data accuracy, reliability, and consistency through rigorous validation and quality checks
• Document data processes, methodologies, and metrics definitions to promote transparency and consistency across teams
• Stay updated with evolving BI tools, analytics methods, and best practices to enhance BI capabilities within the organization

Preferred Qualifications

• Familiarity with Google Cloud Platform (GCP) or other cloud-based data solutions
• Experience with scripting languages such as Python or R for advanced analytics and automation
• Knowledge of machine learning and predictive modeling techniques

Benefits

• Earn competitive compensation and an attractive equity plan
• Save for the future with a 401(k) program (US)
• Benefit from medical, dental, vision and life insurance (US)
• Leverage stipends for: Wellness
• Work-from-home equipment & wifi
• Learning & development
• Make the most of our flexible, generous paid time off and paid parental leave