Remote Data Jobs · Data Visualization

Conduct comprehensive failure analysis on AI agent performance across finance-sector tasks to identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). Key responsibilities include statistical failure analysis, root cause analysis, dimension analysis, reporting & visualization, quality framework, and stakeholder communication.

This role is designed for a data-driven professional who thrives on translating insights into actionable product improvements. You will analyze user behavior, digital performance, and experimentation results to inform product strategy and optimize web and app experiences. Collaborating closely with product, marketing, and technology teams, you will develop dashboards, perform deep-dive analyses, and design experiments that drive engagement and business outcomes.

As a Senior Research Executive in Insights, manage end-to-end research projects, ensuring each stage is delivered with precision and insight. This remote position, open to candidates in Ukraine, Poland, Slovakia, or the Czech Republic, involves working with cross-functional teams and clients across various sectors, applying methodologies to uncover meaningful insights.

Support data-driven decision-making by transforming raw information into meaningful insights, reports, and dashboards. Work closely with cross-functional teams to understand business needs, analyze key performance metrics, and build visualizations that drive clarity and alignment. Responsible for using BI tools, SQL, and analytical frameworks to deliver accurate and actionable insights that support operational and strategic initiatives.

As a Data Analyst at Amplify, you will join a talented team dedicated to uncovering insights that shape business strategy, product development, and customer experience. Your work will help drive decisions that directly impact the lives of millions of students worldwide. Amplify’s Data Analytics team builds reporting frameworks and narratives that guide strategic decisions across the organization.

Support the Claims organization by developing advanced reporting and dashboard solutions, leveraging expertise in PowerBI, DAX and associated tools, to evaluate data and identify opportunities to improve efficiency and effectiveness in our programs. Utilize business intelligence tools to identify/project significant shifts in key business metrics and communicate observations to business owners and technical partners.

Looking for a role that motivates and challenges you? As Architect - BI & Analytics you will conduct customer discovery meetings to determine reporting requirements and work with customers on Power BI Licensing. You will also be creating Power BI solutions for customers including importing data from multiple sources, building reports and dashboards, and creating appropriate data elements using DAX and source queries.

We are seeking an innovative Power BI Developer to join our team working in a Scrum environment. The ideal candidate will have the opportunity to work remotely from anywhere in Slovakia and will take a leading role in designing, developing, and optimizing enterprise-level data-driven solutions in a Microsoft BI cloud environment. This role will focus on advanced automation, predictive analytics, AI-driven insights, and self-service BI enablement.

As a commercial Data Analyst at Impiricus, you will play a vital role in driving data-informed decision-making across our commercial operations, be responsible for analyzing campaign performance, supporting client-facing teams with actionable insights, and managing target list development which combines analytical expertise with business acumen to deliver valuable insights that enhance our client relationships and drive business growth.

In this role, you will develop interactive data visualizations that enable business insights and build a scalable analytical framework to monitor data quality across the organization. You will also work with data teams to deploy data quality across pipelines, set up processes to evaluate data issues, and create data quality standards, communicating insights to drive improvements and promote a data quality mindset.