Data Analyst

• Develop a solid understanding of the relationships between the behaviour of our customers and our growth drivers through data analysis and modelling.
• Create and maintain self-service dashboards for stakeholders across business, using PowerBI.
• Utilize analytical tools (SQL, Python, Google Sheets) to prepare and analyze data, supporting key decision-making processes.
• Carry out ad-hoc analysis to address stakeholder questions and effectively communicating your findings.
• Ensure data integrity and accuracy by performing regular data audits and validation.
• Collaborate with business users to determine KPIs and critical metrics to monitor for new business lines.
• Build forecast models to support business development.
• Deliver actionable insights and data-driven recommendations.

• Build and improve a single source of truth for Talent Acquisition data by connecting and structuring data from multiple inputs and systems.
• Create, audit, and enhance dashboards, scorecards, and reporting that help the team understand funnel health, performance, and key hiring trends.
• Proactively identify bottlenecks, changes in conversion, and other meaningful signals across the candidate journey, and explain their business impact in a simple way.
• Support the team with automation opportunities across Talent Acquisition workflows, including process improvements and AI-enabled ways of working.
• Conduct market and competitor intelligence research to help the business understand talent movement, company signals, and broader hiring opportunities.

• 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.

Financial Data Analyst

• You'll build the data function that keeps up.
• Build the data backbone: pipelines in Airbyte, models in BigQuery, dashboards in Looker, experiments in Statsig.
• Clean inputs, consistent definitions, documented logic - the foundation everything else runs on.
• Own the metrics that matter: LTV:CAC, ROAS, LTV, retention, funnel conversion, payback periods, channel attribution.
• Define them once, get everyone aligned, and put an end to "wait, which number is right?"
• Go proactive, not reactive: don't wait for someone to ask what's broken - build AI-assisted anomaly detection that flags it first.
• Spot the channel quietly leaking spend at 3am. Catch the cohort converting 40% better and explain why.
• Democratise the data: not every question should land in your inbox. Build self-serve dashboards people actually use, write docs people actually read, and raise data literacy across the company.
• Use AI like it's 2026, because it is: if a tool makes you 10x faster or sharper, we want you using it - and teaching the rest of us.
• Raise the bar: question inconsistencies, chase down edge cases, document what you build, and hold everyone (including yourself) to a high standard of accuracy.

• You will be a part of a professional team within SEB Group CRO organization that ensures quality of models used for measuring credit risk.
• We conduct in-depth reviews of the models to ensure quality performance by assessing model design and modelling methodologies, performance from the statistical point of view, data quality, implementation, regulatory compliance, and usage.
• You will support data retrieval, analysis, and interpretation from various sources, assist in evaluating model performance from both quantitative and qualitative perspectives, and contribute to the development of model validation frameworks and automation efforts.
• Work will be organized in small, project-driven sub-teams within a fast-paced and supportive environment that fosters creativity, autonomy, and professional growth.

Junior Quantitative Analyst, Credit Risk Model Validation

• Developing methodologies and advanced tools to improve model review process
• Testing model performance both from quantitative and qualitative perspectives
• Assessing risk model design and methodology
• Interpreting results of the tests performed and providing the insights
• Consolidating your analysis in interactive reports
• Presenting validation results to interested parties and management
• Support SEB Group CRO organization in risk measurement related high scale projects

Quantitative Analyst, Credit Risk Model Validation

• Build predictive data models using advanced statistical methods;
• Provide actionable insights from data;
• Identify business opportunities and estimate their impact;
• Lead data-driven decision-making in a group of stakeholders;
• Build dashboards;
• Coach on best practices in data analysis to foster a data-driven culture.

Product Data Analyst

• Act as the dedicated analytical partner for your domain
• Support strategic and operational decisions with data
• Shape direction, bring forward opportunities, define new metrics
• Validate ideas before scaling them, build and test analytical MVPs
• Align stakeholders on definitions, logic, and trade-offs
• Strengthen decision-making discipline by embedding data into workflows

Senior Data Analyst, Kaunas/Vilnius

• Partner with multiple teams to turn operational and strategic questions into clear, data-backed direction
• Break down ambiguous challenges and deliver insights that drive immediate action
• Explore new tools and continuously improve analysis at Orbio
• Prepare and structure datasets for recurring analysis and reporting
• Take full responsibility for work and push for better solutions across teams

• Validating data accuracy, completeness, and consistency across source and target systems.
• Deep-diving into data transformations, mappings, and complex business logic to ensure nothing is lost in translation.
• Stress-testing ETL/ELT processes from ingestion to output.
• Crafting and maintaining comprehensive test strategies, plans, and detailed test cases.
• Playing a key role in establishing data products and integrating them into our marketplace and reporting suites.
• Proactively engaging with architects, product owners, and developers to ensure requirements are understood, and quality is "baked in" from the start.

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