Data Analytics Engineer (Lithuania)

Our client is a U.S.-based healthcare marketplace focused on connecting providers with patients to improve access to medical services. The company fosters a strong engineering culture and values proactive individuals who are eager to explore new technologies and implement ready-made solutions. We are looking for a specialist based in Lithuania to join our team.

The client is expanding their Product Analytics team and seeking a Data Analytics Engineer to develop data visualization dashboards in Looker.

The primary objective is to enable product teams to adopt a data-driven approach by providing actionable insights, supporting hypothesis generation, and evaluating the impact of key product KPIs.

The Data Analytics Engineer will be responsible for understanding business objectives, assessing the current data landscape, and writing SQL queries to transform raw data managed in DBT into comprehensive Looker dashboards.

Effective collaboration requires at least a 3-hour overlap with Eastern Standard Time (EST).

• Build and maintain reliable, scalable data models and pipelines using SQL, DBT, and Dagster.
• Support self-service analytics by managing tools like Looker and Amplitude, driving adoption and training.
• Partner with analysts, product teams, and engineers to align data infrastructure with business needs.
• Improve data ingestion and integration in collaboration with data engineering.
• Define and promote best practices in data governance, quality, privacy, and security.

• 3+ years of DBT experience with strong data modeling skills
• Experience with Databricks for data extraction and transformation, with subsequent visualization in Looker.
• Strong SQL skills are essential.
• Hands-on experience with data visualization tools is required; Looker experience is a plus, but proficiency with any modern BI tool (e.g., Tableau, Power BI, Qlik) is mandatory.
• Solid understanding of data modeling and data warehousing principles.
• Excellent communication skills — the role involves close collaboration with cross-functional stakeholders to gather requirements and clarify the meaning and context behind key data points.

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com