Business Marketing Analyst jobs

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

• 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
• Proven experience in SQL writing, specifically in querying large and complex data sets
• Experience in BI tools and in DBT/Python
• Looker proficiency – an advantage
• Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
• B.Sc./BA in industrial/information systems engineering, statistics or equivalent
• Experience in operational or cross-department roles – an advantage
• Great communication skills
• Business orientation and a passion for data analytics
• High level of spoken and written English

• High growth: In just six years, we’ve reached milestones that take other companies a decade or more. We’ve doubled our employee count, tripled our customer count, and rapidly expanded our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

Our sensor delivers deep runtime visibility across cloud environments, spanning processes, syscalls, network activity, operating systems, and containerized workloads. As a Detection Analyst, you will examine this data at scale, refine detections, surface suspicious behaviors, and collaborate with the research team to continuously improve our security outcomes.

• Examine runtime events and security findings collected by the Orca Sensor to identify patterns, anomalies, and potential threats.
• Tune detection logic to reduce false positives and improve accuracy.
• Investigate alerts from real customer environments and propose improvements.
• Work closely with the research team to refine existing detections and provide insight for new ones.
• Partner closely with field teams and product managers – managing requests, sharing findings, and keeping everyone aligned.
• Produce short internal or external updates on relevant security trends or incidents.
• Use Elasticsearch to explore detection data and visualize trends.
• Contribute to detection automation and validation workflows (Python/Bash/Go/GitHub Actions).

• BSc with expertise in cybersecurity, or equivalent cybersecurity/detection experience
• Solid understanding of OS internals (Linux/Windows), process and network behavior
• Proven ability to conduct deep investigations, document findings, and propose solutions
• Comfortable with some of the programming/scripting languages (Python, Bash, or similar)
• Fast learner, self-starter, team player with a “can-do” attitude.
• Excellent spoken and written English

• Familiarity with security tools for runtime visibility or detection
• Prior exposure to threat detection or security operations
• Experience with Cloud-Native architectures (AWS/Azure/GCP) and Kubernetes
• Basic static malware analysis knowledge
• Familiarity with AI tools and frameworks (e.g. MCP, AI-driven automations)

The ideal candidate should hold a bachelor's or master's degree in finance, Business, or Accounting.

• Results-driven mindset

• Eager to learn and grow

• Proficiency with systems

• Strong organizational skills, attention to detail, and ability to handle complexity

• Excellent teamwork capabilities

• Strong communication skills

• Ability to work independently and effectively overcome obstacles

• The job requires at least 4 days per week from the campus