Financial Data Analyst

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernising backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 90+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value.

Join our team as a Financial Data Analyst and make a significant impact for our client in the banking sector. In this dynamic role, you'll be at the heart of ensuring seamless daily and monthly operations within our data warehouses and financial reporting systems.

Job description:

• Oversee the successful implementation of daily and monthly process launches within data warehouses and financial reporting systems.
• Administer and sustain the databases that support our financial reporting solution, including optimizing the performance of SQL queries.
• Develop and apply efficient database archiving strategies to guarantee scalability and preserve long-term data integrity.
• Investigate, diagnose, and address issues that arise during EOD/EOM cycles.
• Work collaboratively with group finance, business analysts, data engineering teams, and operations to maintain process continuity and system reliability.

Requirements

• Proven expertise in SQL databases, mastering query optimization, performance tuning, and effective schema management.
• Deep understanding of data processing workflows, ideally with hands-on experience in financial or enterprise environments.
• Skilled at planning and coordinating seamless software releases to keep projects on track.
• Strong problem-solving abilities with a track record of troubleshooting complex system challenges.
• Excellent communication skills and a collaborative mindset to thrive in cross-functional teams.

Benefits

• Diverse and technically challenging projects.
• Training budget for professional and personal growth.
• Flexible working hours and a hybrid or remote workplace model.
• Flexible schedule and an Agile/SCRUM environment.