Data Analyst

Please note - hybrid from Warsaw (3 days from the office, 2 remotely).

About us:

We help businesses use AI and digital tools to work better and grow faster, especially in private capital markets. Our Core Platform improves workflows and gives useful insights with AI. Olympus Software is a fast, smart cloud system that grows with your needs. The Pantheon Suite offers flexible tools to manage and improve business performance. With over 10 years of experience, we know how to turn technology into real business value.

About the Role

We are seeking a Data Analyst to join our PaaS (Platform-as-a-Service) Customer Delivery team in Warsaw. In this role, you will be responsible for transforming data into actionable insights to support decision-making across product, operations, and strategy for customer-facing platform implementations. You will work closely with stakeholders across implementation projects to develop dashboards, conduct ad-hoc analyses, and ensure the integrity of platform usage and performance metrics. This role is ideal for someone who is curious, business-minded, and eager to make an impact through data.

Key Responsibilities

• Partner with cross-functional teams to define key metrics and build dashboards and reports that provide visibility into business performance.

• Conduct deep-dive analyses to answer business questions, uncover trends, and identify opportunities for growth and optimization.

• Design and maintain scalable data models and SQL queries to support reporting and analytical needs.

• Collaborate with data engineers to ensure data availability, quality, and consistency across systems.

• Communicate findings and recommendations clearly to technical and non-technical audiences.

• Develop documentation and contribute to data literacy across the organization.

Qualifications

Required

• 2–4 years of experience in a data analyst or business intelligence role.

• Strong SQL skills and experience working with large datasets in a cloud data warehouse environment.

• Proficiency with BI tools such as Looker, Tableau, Power BI, or similar.

• Strong analytical thinking and attention to detail.

• Excellent communication and data storytelling skills.

Preferred

• Experience working with dbt or similar modeling tools.

• Familiarity with A/B testing design and analysis.

• Some experience with Python, R, or another scripting language for data analysis.

• Exposure to product analytics platforms (e.g., Mixpanel, Amplitude).