Analytics Engineer

Reports to:

Senior Manager, Analytics Engineering

Location:

Remote US

Compensation Range: $170,000 to $200,000 base plus bonus and equity

Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Whether creating purpose-built security solutions, hunting down hackers, or impacting our community, our people go above and beyond to change the security game and make a real difference.

Founded in 2015 by former NSA cyber operators, Huntress protects all businesses—not just the 1%—with enterprise-grade, fully owned, and managed cybersecurity products at the price of an affordable SaaS application. The Huntress difference is our One Team advantage: our technology is designed with our industry-defining Security Operations Center (SOC) in mind and is never separated from our service.

We protect 4M+ endpoints and 7M+ identities worldwide, elevating under resourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting.

Analytics engineer is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the ability to understand data flows end to end, and the engineering toolkit to extract the most value and solve business problems. As a Staff Analytics Engineer at Huntress, you will be a key technical leader, driving the strategy, architecture, and execution of our data analytics platform. You'll provide thought leadership, architect cutting-edge solutions, and serve as a technical mentor to the rest of the team by providing expertise and code reviews to unlock the full potential of our data.

Your work will directly influence business strategy and drive growth in a dynamic startup environment. This is a great role for a seasoned expert passionate about building scalable, high-impact data systems.

• Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud, leveraging AWS, Snowflake, dbt, Fivetran, and other modern technologies.
• Be the Expert. Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery.
• Examples:
  Embed into a new line of business and work with engineering and finance partners to deliver initial data models and insights. Communicate with the engineering teams to fix data gaps (e.g. missing data objects or attributes) and take accountability for fixing issues anywhere in the stack.
• Support defining and executing the overarching strategy for the analytics engineering function
  , including the development and evangelization of data frameworks, standards, and best practices across the organization.
• Lead efforts in designing, building, and maintaining a robust, governed, and scalable semantic layer to provide consistent and reliable data access for business intelligence and analytics.
• Spearhead the technical vision and roadmap for data quality and governance
  , establishing frameworks and processes to ensure data integrity and proactively address systemic issues.
• Act as a primary technical consultant to senior executives and business stakeholders
  , translating complex data concepts into actionable insights and strategic recommendations.
• Mentor, coach, and develop junior and mid-level analytics engineers
  , fostering a culture of technical excellence, innovation, and continuous learning within the team.
• Set standards for documentation, conduct advanced peer code reviews, and define comprehensive testing strategies for data solutions.
• Continuously evaluate and champion new technologies and methodologies to enhance the data and analytics capabilities at Huntress.

In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we look for:

• 7+ years of progressive experience in analytics engineering, data engineering, or a similar role
  , with a strong emphasis on architecting and implementing large-scale data solutions. SaaS experience is a plus.
• Financial & Go-to-Market Data Experience
  :…