Huntress is a pioneering cybersecurity firm, established in 2015 by former NSA cyber operators, with a mission to make hackers earn every inch of their access. Specialized in protecting small to midsize businesses, Huntress utilizes its cutting-edge security platform and expert human threat hunters to counteract hidden threats.

As a Sr. Data Analyst at Huntress, you'll play a pivotal role in analyzing revenue data and providing actionable insights to drive strategic decisions. The ideal candidate will have expertise in revenue reporting (ARR), advanced SQL skills, and experience with complex data models. This remote position offers the opportunity to work with cross-functional teams and contribute to the company's revenue optimization efforts.

In this guide, Interview Query will walk you through the interview process, commonly asked questions, and valuable tips to help you succeed in joining Huntress in their mission to stop hackers in their tracks. Let's dive in!

Submitting Your Application

The first step in the interview process for a data analyst position at Huntress Group is to submit a compelling application that reflects your technical skills and interest in joining the company. Review the job description carefully and tailor your CV according to the prerequisites.

Ensure your CV incorporates specific keywords that hiring managers use to filter resumes and craft a targeted cover letter. Highlight relevant skills and mention your past work experiences meticulously.

Recruiter/Hiring Manager Call Screening

If your CV is shortlisted, a recruiter from Huntress Group will reach out to verify key details, such as your experience and skill level. Behavioral questions may also be asked during this screening process.

In some cases, the hiring manager might participate in this screening round to answer any queries you may have about the role and the company itself. They might delve into surface-level technical and behavioral discussions.

Typically, this call lasts about 30 minutes.

Technical Virtual Interview

Passing the recruiter screening paves the way for the technical screening round, usually conducted virtually via video conference and screen sharing. The questions in this 1-hour interview may revolve around Huntress Group’s data systems, SQL queries, and data models.

For data analyst roles, you might be assigned take-home assignments associated with product metrics, data visualization, and analytics. Your proficiency in hypothesis testing, probability distributions, and machine learning fundamentals could also be evaluated during this stage.

Depending on the seniority of the position, real-scenario problems and case studies might also be part of the process.

Onsite Interview Rounds

After a second recruiter call outlining the next steps, you’ll be invited for onsite interview rounds. These may involve multiple sessions over the course of a day at Huntress Group’s office. Your technical prowess, including programming and modeling capabilities, will be assessed thoroughly.

If you were assigned take-home exercises earlier, you might also have to present them during the onsite interview.

Quick Tips For Huntress Group Data Analyst Interviews

• Understand The Company: Familiarize yourself with Huntress Group’s security products, their market positioning, and target customer base. Demonstrating your understanding of how their products work can impress the interviewers.

• Strong SQL and Data Modeling Skills: The role requires advanced SQL skills and experience with complex data models. Refresh your knowledge and practice SQL queries and data modeling exercises using platforms such as Interview Query.

• Prepare For Revenue Analysis Questions: Given the role’s focus on revenue analysis and reporting, be prepared to discuss your experience and expertise in analyzing revenue streams, variance analysis, and trend forecasting.

Typically, interviews at Huntress Group vary by role and team, but commonly Data Analyst interviews follow a fairly standardized process across these question topics.

• Will increasing the number of trees in a random forest model continuously improve its accuracy? If you sequentially increase the number of trees in a random forest model, will the model's accuracy keep improving indefinitely?

Looking to join a forward-thinking team dedicated to protecting small and midsize businesses from cyber threats? The Sr. Data Analyst role at Huntress Group offers a unique opportunity to use your skills in revenue analysis, SQL, and data modeling to make a tangible difference. Want to prepare effectively for your interview? Check out our main Huntress Group Interview Guide, where we cover potential interview questions and provide comprehensive guides to empower you. At Interview Query, we provide the tools you need to excel in your interview process, ensuring you stand out and succeed. Good luck!