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Data Analytics Engineer

Belgrade, Serbia

HYPR, the Identity Assurance Company, helps organizations create trust in the identity lifecycle.  We are a community of bold thinkers and energetic doers who imagined a brand new approach to identity security and, at the same time, are eliminating a pervasive and persistent 60-year old problem – the password. Since being founded in 2014, the company has grown to be the premium provider of authentication security to marquee brands around the globe and are quickly becoming the recognized leader in Identity Assurance. We are looking for exceptional people with the ambition and the will to positively change the world. If that sounds like you, join us on our mission to create a passwordless world and secure the identity lifecycle.

Your Role and Impact

We’re looking for a Data Analytics Engineer with an Engineering Mindset to bridge the gap between raw data and business impact. You’ll work closely with data engineers, security experts, and product teams to extract meaningful insights, automate reporting, and optimize data pipelines that power security intelligence.

Your ability to design scalable visualizations, analyze patterns, and work with AWS-based data infrastructure will play a critical role in shaping HYPR’s data-driven decisions.

What you will do in this role

  • Design and build scalable data models which server as the basis of HYPR’s data strategy
  • Create and maintain interactive dashboards and intuitive visualizations that clearly communicate trends, anomalies, and key metrics.
  • Work with a variety of stake holders to track and communicate key metrics across product usage, fraud detection, and operational efficiency.
  • Work with engineering to develop and maintain data pipelines for ingesting, processing, and analyzing large-scale security and authentication data.

Who you are

  • Technical & Analytical Blend – willingness to work at the intersection of data engineering and analytics
  • ETL & Event-Driven Architectures – Knowledge of structure, change management, and observability.
  • Data Proficiency – Strong ability to design, query, and organize large datasets (SQL, AWS Redshift, or similar).
  • BI & Data Visualization – Experience with QuickSight, Tableau or similar with a strong understanding of visual best practices for effective communication.
  • Data Pipeline Development – Hands-on experience with AWS data tools such as Lambda, S3, Kinesis, Redshift, API gateway and such.
  • Programming – Proficiency in either Java or Python language for data analysis, transformation and API interactions. A working knowledge of Java is mandatory.

Preferred Qualifications

  • Security & Authentication Analytics – Knowledge of fraud detection, risk scoring, or anomaly detection.
  • Infrastructure as Code (IaC) – Experience with Terraform, CloudFormation, or similar tools.
  • Data Privacy & Compliance – Understanding of regulations such as GDPR and their impact on data architecture
  • CI/CD infrastructure - Knowledge of build pipelines, creating and running test suites towards production stability

What HYPR Offers

  • An organization with a great work life balance. Many of our employees have families and responsibilities outside of the office that they are able to easily meet.
  • Extreme product focus, at HYPR you’ll never be spinning your wheels on tasks that do not matter. Everything we develop is cutting edge and important.
  • High levels of ownership. We understand that we are able to do our best work when we can bring insights together.
  • An emphasis on collaboration and access to giants in the industry. We achieve our best because we employ the best.
  • Our engineers use the latest frameworks and language iterations. Our marketing, sales, ops and more utilize the best and latest tools for innovation and scale.

Additional Information

  • Full Time Opportunity: Yes
  • The core meeting hours for this position are from 2:00 PM to 6:00 PM. Attendance is required for meetings scheduled between 2:00 PM and 6:00 PM. These meetings may be attended remotely via Zoom. Outside of these scheduled meetings, working hours are flexible. 
  • This position is a hybrid role. Employees are required to work in the office a minimum of two days per week—specifically Tuesdays and Wednesdays. The remaining workdays offer flexible remote options.

As the premium provider of authentication security, HYPR is committed to preventing identity fraud by safely and accurately verifying the identities of our employees. Accordingly, all new employees are required to participate in an automated identity verification process, which includes document verification, location detection, and facial recognition, on their first day of employment with the Company.  To learn more about this identity verification process,  please contact peopleops@hypr.com.

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