Data Analyst

We’re building a new digital bank from scratch — and strong data capabilities are essential for making well-informed decisions in compliance and risk management.

As we expand our data team, we’re looking for a Data Analyst who will work with business and risk data, turn complex information into clear insights, and help AML, compliance, and risk teams make better data-driven decisions.

You’ll combine business understanding with hands-on analytics, working with Power BI, SQL, Azure, and dbt to build reliable reports, data models, and analytical solutions.

Every day, you’ll be #closer and:

• Collaborate with AML, compliance and risk management teams, gathering requirements and translating them into analytical and technological solutions;
• Own the numbers for your domain. Know what “normal” looks like in transaction monitoring, KYC and sanctions screening well enough to spot a wrong figure or emerging risk early;
• Define and document key AML metrics, such as alert-to-SAR conversion and false positive rates, so each has a single definition used the same way in every dashboard, report and AI-assisted answer;
• Investigate anomalies and suspicious patterns, and present findings clearly to people who don’t think in SQL;
• Use AI tools to work smarter, speeding up analysis and moving routine questions into AI-assisted self-serve, so your time goes to work that needs judgment;
• Build and own AML dashboards and reporting, and close the loop by following up on decisions and their outcomes.

• Professional experience (typically 2+ years) as a data analyst, BI analyst or in a similar role where your work fed real business or risk decisions
• Strong SQL, and the instinct to sanity-check a result before you trust it, especially when it ends up in a regulatory or management report
• Experience building dashboards that people actually use, in Power BI or a similar tool
• A solid grasp of practical statistics: comparing groups, reading trends, and knowing when a change in alerts or risk patterns is real and when it is noise
• Clear communication: short write-ups that lead with the answer, and confidence presenting to senior stakeholders, compliance and risk teams
• Curiosity about how financial crime, compliance and risk processes work, not only how the data works
• Ownership. You care whether your numbers are right and whether anyone acted on them
• Fluent Lithuanian and English

Privalumai

• Experience in AML, compliance, fraud or risk management in banking, fintech or another regulated industry
• Knowledge of AML processes such as transaction monitoring, KYC/CDD or sanctions screening
• Python for analysis (pandas or similar)
• Experience with dbt, a semantic layer, or working with Git and code review
• Familiarity with Databricks or another modern cloud data platform

• A platform built with analysts in mind. Governed definitions, a modern stack and an AI analyst that takes the repetitive questions off your desk, so you spend your time on the interesting ones.
• The green light for your ideas. Your suggestions will be heard — we value independence, curiosity, and initiative.
• A seat close to decisions. You will work side by side with your business domain, and see the impact of your work directly.
• An organisation that is changing. Joining Artea means more than just a new name — it means new ideas, perspectives, and opportunities to help shape our culture from within.
• A manager who helps you grow. You’ll get clear direction and support while having plenty of freedom to act, learn, and develop.
• Achievements rooted in Lithuania. We’re especially proud to be a Lithuanian bank. We believe our country and our people are unique, and we do everything we can every day to help them realise their potential.
• A personal benefits package. Health insurance, a pension savings programme, additional days off, flexible working hours, modern infrastructure — and that’s far from the complete list of benefits!
• Performance bonuses. Our employees can earn bonuses based on the performance of the bank, their team, and their own individual performance.