About Remote PeopleAt Remote People, we are revolutionizing the way teams collaborate across borders. Our innovative infrastructure manages global payroll, benefits, taxes, and compliance, empowering businesses to hire talent from anywhere in the world effortlessly.If you resonate with our mission of helping individuals secure their dream jobs, no matter where they are located, we encourage you to apply!We are dedicated to cultivating a diverse and global team that embraces various backgrounds, perspectives, and experiences. We invite applications from all individuals, regardless of gender, ethnicity, sexual orientation, religion, civil or family status, age, or disability. Joining Remote People means becoming part of a dynamic, international family.OverviewWe are on the lookout for a passionate BI Engineer who operates at the crossroads of data, business intelligence, and AI. Your role will involve transforming raw data into insightful dashboards and actionable insights that drive strategic decisions throughout our organization.What you'll be doingAs a critical member of our Data & AI team, you will collaborate with Data Engineers, AI Engineers, and business stakeholders within our remote-first organization spanning Asia and Europe. Your primary responsibility will be to make data comprehensible and utilizable, developing dashboards and reports that provide teams with true visibility into current operations, unveiling insights that guide product and operational strategies, and enhancing the organization’s data-driven decision-making capabilities. You will go beyond simple data queries; you will create sophisticated data models, establish robust reporting pipelines, and leverage AI to amplify the quality of your outputs. Collaboration will be asynchronous and cross-time zone as standard practice.ResponsibilitiesDesign, develop, and maintain interactive dashboards and reports using Power BI, converting complex data sets into clear, actionable visualizations.Model and transform data utilizing Python (including libraries such as pandas, Plotly, or Streamlit) to facilitate reporting and exploratory analysis.Collaborate with Data Engineers to understand data structures and ensure reporting requirements are met effectively.
Apr 1, 2026