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Analytics Engineer, DataOne - job 1 of 2

HackerOne is the global leader in human-powered security, harnessing the creativity of the world’s largest community of security researchers with cutting-edge AI to protect your digital assets. The HackerOne Platform combines the expertise of our elite community and the most up-to-date vulnerability database to pinpoint critical security flaws across your attack surface. Our integrated solutions, including bug bounty, pentesting, code security audits, spot checks, and AI red teaming, ensure continuous vulnerability discovery and management throughout the software development lifecycle. Trusted by industry leaders such as Coinbase, General Motors, GitHub, Goldman Sachs, Hyatt, PayPal, and the U.S. Department of Defense, HackerOne was named a Best Workplace for Innovators by Fast Company in 2023 and a Most Loved Workplace for Young Professionals in 2024.

Analytics Engineer, DataOne

Based in United States

HackerOne's mission is to empower the world to build a safer internet. HackerOne is the global leader in human-powered security. We leverage human ingenuity to pinpoint the most critical security flaws across your attack surface to outmatch cybercriminals. HackerOne’s Attack Resistance Platform combines creative human intelligence with the latest artificial intelligence to help organizations reduce risk and transform their businesses with confidence. 

 

Position Summary 

HackerOne is seeking an Analytics Engineer to join our DataOne team. You will work on discovery, architecture, and development of high-impact, high-performance, scalable source of truth data marts and data products. Joining our growing, distributed organization, you'll be instrumental in building the foundation that powers HackerOne's one source of truth.

As an Analytics Engineer, you'll have the autonomy to contribute to challenging projects and lean into collaboration across the company. Leveraging your extensive technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward.

DataOne’s Mission & Vision

DataOne democratizes source of truth information and insights to enable all Hackeronies to ask the right questions, tell cohesive stories and make rigorous decisions, so that HackerOne can delight our Customers and empower the world to build a safer internet

The future is one where every Hackeronie is a catalyst for positive change, driving data-informed innovation while fostering our culture of transparency, collaboration, integrity, excellence, and respect for all.

What You Will Do

Your first day will start with a warm welcome and technical onboarding!

  • Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies.

  • Within 60 days, you will deliver impact with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products.

  • Within 90 days, you will contribute to the continuous evolution and innovation of data at HackerOne. Additionally, you lean into cross-departmental collaboration to enhance these efforts.

Your journey doesn't stop here: your manager will work with you on your growth path toward the future of your career so you become the best version of yourself!

After 90 days, you will:

  • Deliver impact by consistently contributing to discovery, architecture, and development of high-impact, high-performance, scalable source of truth data marts and data products.

  • Lead and deliver cross-functional product and technical initiatives, while managing competing priorities, and adapting to shifting business objectives.

  • Drive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices.

  • Champion a higher bar for discoverability, usability, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.

  • Provide subject matter expertise, fostering a culture of continuous learning and growth.

Minimum Qualifications

  • 4+ years experience as an Analytics Engineer, Business Intelligence Engineer, Data Engineer, or similar role w/ proven track record of launching source of truth data marts.

  • 4+ years of experience building and optimizing data pipelines, products, and solutions.

  • Strong proficiency in SQL for data manipulation in a fast-paced work environment.

  • Strong proficiency in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI. 

  • Work remotely based in the US. HackerOne is a digital first company. This model offers our employees flexibility in time and location. All employees must be able to work and excel in a remote environment.

Preferred Qualifications 

  • Work remotely, based in US EST and CST time zones.

  • Strong proficiency in at least one data programming language such as Python or Scala.

  • Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.

  • Experience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice.

  • Experience designing advanced data visualizations and data-rich interfaces in Figma or equivalent.

#LI-Remote

#LI-SM1

We are a Circle Back Initiative Employer and commit to responding to every applicant.

We're committed to building a global team! For certain roles outside the United States, U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

HackerOne Values

HackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of hackers. We are driven by our five core values. We recognize that our mission is bigger than us, and therefore act with integrity at all times. As a team, we believe that transparency builds trust so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.

HackerOne Glassdoor Company Review
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CEO of HackerOne
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Marten Mickos
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Average salary estimate

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What You Should Know About Analytics Engineer, DataOne, HackerOne

HackerOne, the global leader in human-powered security, is on the lookout for an enthusiastic Analytics Engineer to join our DataOne team. This is an exciting opportunity where you'll play a key role in cultivating a source of truth data mart that drives innovation and enhances our decision-making processes. Imagine starting your journey with a warm welcome and engaging technical onboarding, where you’ll dive into our tech stack that includes Python, Airflow, Snowflake, and more! Over your first 90 days, you'll not only get acclimated but also significantly contribute to impactful projects that bolster HackerOne's mission to empower a safer internet. The role offers the autonomy to lead cross-functional initiatives and leverage your technological expertise while collaborating with talented professionals across the organization. By championing data reliability and usability, you'll ensure that every Hackeronie can make informed decisions that delight our customers. With over 4 years of experience as an Analytics Engineer or in a related field, strong SQL skills, and a flair for creating engaging data stories, you're well-equipped to drive continuous innovation at HackerOne. Ready to contribute to a culture that values transparency, integrity, and excellence? Join us and be a catalyst for positive change in the cybersecurity landscape!

Frequently Asked Questions (FAQs) for Analytics Engineer, DataOne Role at HackerOne
What are the primary responsibilities of an Analytics Engineer at HackerOne?

To be successful in this role, candidates should have over 4 years of relevant experience, including building and optimizing data pipelines, strong SQL proficiency, and the ability to craft compelling data stories through visualization tools like Looker or Tableau.

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What qualifications are required to be considered for the Analytics Engineer position at HackerOne?

Additionally, familiarity with programming languages like Python and experience with business applications such as Salesforce will enhance your application.

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What is the work environment like for an Analytics Engineer at HackerOne?

We value inclusiveness and provide a supportive environment where every team member can thrive and contribute to our mission effectively.

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How does HackerOne support the growth and development of its Analytics Engineers?

You will engage in ongoing learning opportunities, mentorship, and exposure to diverse projects that challenge you and support your career trajectory.

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What technologies should an Analytics Engineer at HackerOne be familiar with?

Familiarity with data from business applications, advanced data visualization, and data-rich interface design will be crucial to your success in this role.

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Common Interview Questions for Analytics Engineer, DataOne
Can you describe your experience with data pipeline optimization as an Analytics Engineer?

When responding to questions about data pipeline optimization, focus on specific techniques you’ve used such as utilizing ETL processes, managing data flow for efficiency, and performance metrics that demonstrate your success in enhancing pipeline performance and reliability.

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What tools and technologies do you prefer for data visualization, and why?

Discuss the tools you are most proficient with, such as Looker or Tableau, emphasizing their user-friendly interfaces, integration capabilities with data sources, and your success stories where these tools provided insightful visualizations or analytics that drove business decisions.

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How do you ensure data integrity and quality in your projects?

Explain your strategies for maintaining data integrity, such as implementing validation checks, using version control for data changes, and engaging in peer reviews to catch potential errors. Discussion of any tools or frameworks you use to monitor data quality can also strengthen your response.

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Describe a challenging project you managed and the outcome.

Choose a specific project that highlights your problem-solving skills, your ability to lead and coordinate with different teams, and the positive impact your contributions had on the project’s success. Mention the skills you applied during the process to manage challenges effectively.

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How do you approach collaboration with cross-functional teams?

In your answer, talk about the importance of clear communication and setting expectations with cross-functional partners. Share examples of how you’ve successfully collaborated on past projects and the benefits of different perspectives in driving innovative solutions.

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What methods do you use to tell a compelling data story?

Explain your approach to crafting narratives around data, such as focusing on audience needs, using a clear structure, and emphasizing key insights supported by visuals that make the data easily understandable and actionable.

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How do you keep up-to-date with emerging data technologies?

Discuss the ways you stay informed about innovations in data analytics and technology. This can include following relevant blogs, attending webinars, or participating in community forums, showcasing your commitment to continuous learning.

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What do you consider the most important aspect of an effective data mart?

Share your views on creating user-friendly and accessible data marts that support the needs of various stakeholders. Point out aspects such as data discoverability, security, and timely updates as essential features of a successful data mart.

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Have you ever faced any ethical dilemmas in your work with data? How did you handle it?

Provide a specific example where you encountered an ethical challenge, and discuss how you navigated that situation while aligning with company policies and ethical guidelines, demonstrating your professionalism and integrity.

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Why do you want to work as an Analytics Engineer at HackerOne?

Express your enthusiasm for HackerOne’s mission and culture, linking it to your own values. Mention how your skills can significantly contribute to their goals and how you’d relish the opportunity to be an active participant in promoting a safer internet.

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HackerOne is leading a cybersecurity platform that connects businesses with penetration testers and cybersecurity researchers. HackerOne's customers include The U.S. Department of Defense, Google, GitHub, Microsoft, Nintendo and more.

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Full-time, remote
DATE POSTED
December 6, 2024

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