Staff Data Analyst, SOC/Support

Reports to: Senior Director, Analytics 

Location: Remote US

Compensation Range: $155,000 to $170,000 base plus bonus and equity

What We Do:

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 underresourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting.

What You’ll Do:

We are seeking a highly skilled and strategic Staff Data Analyst to be a key partner to our support and security operations leadership teams. In this role, you will be responsible for turning complex data into actionable insights that drive customer journey mapping. You will own the analytical framework for measuring the health of our customers and support and security operations teams. This position requires a unique blend of technical expertise, business acumen, and the ability to clearly communicate a metric-driven narrative to a wide range of stakeholders.

Responsibilities

• Unlock value in our install base by leaning in with curiosity to investigate customer usage, enablement, and engagement.
• Offer insights into key performance indicators (KPIs) and provide timely alerts on significant changes, anomalies, or performance gaps.
• Proactively develop and present compelling, data-driven narratives to support strategic planning, investment decisions, and business reviews (e.g., QBRs, board meetings).
• Lead deep-dive analyses on critical business questions, such as sales motion effectiveness, market segmentation, and pricing strategy.
• Own the end-to-end reporting process for key support metrics, customer health, product usage, and support effectiveness.
• Actively support business owners in better understanding their business, staffing capacity planning, product requirements, and improving operating efficiency.
• Design, build, and maintain a suite of scalable dashboards and reports using business intelligence tools (e.g., Sigma, Tableau, Power BI, Looker) that provide visibility into performance.
• Conduct complex data analysis using SQL to extract, manipulate, and analyze data from various sources (e.g., Salesforce, marketing automation platforms, financial systems).

How You Work

• Serve as a trusted advisor by proactively identifying trends, opportunities, and risks within our customer health and support data products.
• Translate complex data concepts into clear, concise, and simple terms for non-technical audiences.
• Have regular meetings with key stakeholders that define what data product readiness looks like in the now, next, and future timelines. 
• Influence key prioritization and resource allocation decisions by providing a clear, data-backed point of view that makes data products future-ready.
• Collaborate with analytics engineers to build and maintain the data pipelines that ensure growth metrics are evolving in alignment with the company's strategy.  

Example data products you would own

• Customer Health Analysis is the core data product that helps support, security operations, and revenue leaders understand the health of our customer base. Directly influence decisions around retention programs and support coverage. 
• Support Efficiency defines key metrics around tickets and ticket efficiency metrics to support capacity planning.
• Incident Effectiveness measures the number of Security Operations incidents, resolution times, and customer sentiment.  

What You Bring To The Team:

• Bachelor’s degree in a quantitative field (e.g., Finance, Economics, Statistics, Computer Science) or equivalent practical experience.
• 5+ years of experience in data analytics, business intelligence, or a similar role, with a strong focus on customer health reporting, preferably within a B2B SaaS environment.
• Advanced proficiency in SQL for data querying and manipulation.
• Proven experience with BI tools such as Sigma, Tableau, Looker, Power BI, or similar platforms.
• Excellent communication, presentation, and storytelling skills, with the ability to translate complex data into clear, actionable insights for an executive audience.
• Demonstrated ability to partner with senior leaders and influence strategic decision-making.

What We Offer: 

• 100% remote work environment - since our founding in 2015
• Generous paid time off policy, including vacation, sick time, and paid holidays
• 12 weeks of paid parental leave
• Highly competitive and comprehensive medical, dental, and vision benefits plans 
• 401(k) with a 5% contribution regardless of employee contribution
• Life and Disability insurance plans
• Stock options for all full-time employees 
• One-time $500 reimbursement for building/upgrading home office
• Annual allowance for education and professional development assistance 
• $75 USD/month digital reimbursement
• Access to the BetterUp platform for coaching, personal, and professional growth

Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. 

We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.  

We do discriminate against hackers who try to exploit businesses of all sizes.

Accommodations: 

If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to [email protected]. Please note that non-accommodation requests to this inbox will not receive a response. 

Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights.

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