Business Intelligence Engineer Remote - US (East Coast)

Cobalt Labs, Inc.; United States; Remote; USD 109,000 - 137,000; Full time

Job summary

An innovative firm is seeking a Business Intelligence Engineer to transform data into actionable insights. In this role, you will leverage your expertise in data analytics and visualization to empower teams, enhance decision-making, and drive business performance. You'll work in a collaborative environment, developing BI reports and data pipelines while ensuring data accuracy and reliability. Join a passionate team at the forefront of the pentesting industry, where your insights will shape the strategic direction of cybersecurity innovation. This is an exciting opportunity to grow and make a significant impact in a rapidly expanding field.

Benefits

401(k) program

Medical, dental, vision, and life insurance

Work-from-home equipment stipends

Flexible paid time off

Paid parental leave

Equity plan

Qualifications

• 3+ years of experience in Business Intelligence or Analytics.
• Proficiency in BI tools and SQL for data analysis.

Responsibilities

• Develop and optimize BI reports and dashboards using modern tools.
• Collaborate with stakeholders to translate data needs into analytics solutions.

Skills

Business Intelligence

Data Analytics

SQL

Data Visualization

Problem-solving

Communication Skills

Education

Bachelor's Degree in a related field

Tools

Looker

Tableau

Power BI

Google Cloud Platform

Python

R

Job description

Business Intelligence Engineer, US - East Coast Preferred

Who We Are

Cobalt was founded on the belief of a fundamental human aspiration: the desire to live better and safer. It all started in 2013, when our founders realized that pentesting can be better. Today our diverse, fully remote team is committed to helping organizations of all sizes with seamless, effective and collaborative Offensive Security Testing that empower organizations to OPERATE FEARLESSLY and INNOVATE SECURELY.

Our customers can start a pentest in as little as 24 hours and integrate with advanced development cycles thanks to the powerful combination of our SaaS platform coupled with an exclusive community of testers known as the Cobalt Core. Accepting just 5% of applicants, the Cobalt Core boasts over 400 closely vetted and highly skilled testers who jointly conduct thousands of tests each year and are at the forefront of identifying and helping remediate risk across a dynamically changing attack surface.

Cobalt is an Equal Opportunity Employer and we strive to build a diverse and inclusive workforce at our company. At Cobalt we aspire to engage with diverse individuals, communities, and organizations in order to continue to nurture our unique rich diverse culture. Join our team, and be your true self to do your best work.

Description

Join our innovative team as a Business Intelligence Engineer and become an essential contributor in transforming data into actionable insights at Cobalt. In this role, you'll 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.

What You'll Do

• 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.

You Have

• 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.

Bonus If You Have

• 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.

Why You Should Join Us

• Grow in a passionate, rapidly expanding industry operating at the forefront of the Pentesting industry.
• Work directly with experienced senior leaders with ongoing mentorship opportunities.
• 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 work-from-home equipment & wifi.
• Make the most of our flexible, generous paid time off and paid parental leave.

Pay Range Disclosure

Cobalt is committed to fair and equitable compensation practices. The salary range for this role is ($109,000 - $137,000) per year + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. The salary range may differ in other states and may be impacted by proximity to major metropolitan cities.