Analytics Engineer

Summary

Join HackerOne's DataOne team as an Analytics Engineer and contribute to the development of high-impact data marts and products. You will work on discovery, architecture, and development of scalable data solutions, leveraging your expertise in data technologies and visualization tools. This role offers autonomy and collaboration opportunities within a growing, distributed organization. You will be instrumental in building HackerOne's single source of truth data platform, driving innovation and enhancing data discoverability and usability. The position requires significant experience in data engineering and analytics, with proficiency in SQL and data visualization tools. HackerOne is committed to providing a supportive and collaborative work environment.

Requirements

• 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

Responsibilities

• 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

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