
at Danske Bank
Investment BankingPosted 8 days ago
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**Business Intelligence Specialist, Business Risk Transformation** - Simplify customer lifecycles via data analysis (SQL, Alteryx) - Leverage AI (GenAI, Agentic AI) to enhance processes, improve outcomes - Drive business strategies with actionable insights, clear communication - Requires 3+ years' experience in data roles, SQL proficiency, AI knowledge
- Compensation
- €3,120 – €4,680 EUR
- City
- Warsaw
- Country
- Lithuania, Poland
Currency: € (EUR)
Full Job Description
Location: Vilnius, Lithuania
Do you enjoy turning complex data into clear insights and actionable recommendations? Do you bring a business mindset, a strong analytical foundation, and the ability to question ideas in a dynamic environment? And are you able to leverage AI for greater impact? If so, keep reading!
As our new Business Intelligence Specialist and colleague in Business Risk Transformation, you will join a driven international team focused on simplifying customer lifecycles and improving outcomes across all Danske Bank business units. The team is spread across Denmark, Sweden, and Lithuania.
The workplace can be located in either Vilnius, Lithuania or Warsaw, Poland. Danske Bank supports workplace flexibility (we currently use a hybrid work model, where we work at least 3 days in the office).
This role does not include a relocation allowance for candidates who are not based in Lithuania or Poland.
You will:
Extract, transform, validate, and analyse large datasets to simplify customer lifecycle initiatives
Use your solid understanding of GenAI, Agentic AI and automation tools to explore how to enhance and scale processes and improve outcomes
Identify patterns, anomalies, root causes, and opportunities to inform clear business recommendations
Collaborate with project managers and business stakeholders to turn insights into impactful business strategies
Document assumptions, controls, and processes to continuously improve ways of working
Take a proactive approach while contributing within a dynamic project setting
You have:
3+ years of expertise in extracting, investigating, and recommending based on complex data
Worked on your own with SQL, Alteryx, and data reconciliation
A structured, curious approach to identifying patterns and drawing actionable conclusions
Deep knowledge of how GenAI / Agentic AI / automation tools can improve data and processes
Clear communication skills with the ability to explain complex analyses to non-technical audiences.
Strong stakeholder management skills
Ability to prioritise work independently yet aligned to team objectives
Advanced English proficiency, both written and spoken
An open mind and a battery that charges by socialising with colleagues online and offline
We offer:
For hires in Lithuania, monthly salary range is from 3120 EUR to 4680 EUR gross (based on your competencies relevant for the job).
For hires in Poland, compensation will be aligned with local market conditions and shared as part of the recruitment process.
At Danske Bank, you will join a professional, collaborative and supportive environment where development, well-being and continuous learning are valued. As part of the team, you can expect:
Wide range of professional growth opportunities, including learning programmes, support for professional certificates and broad internal mobility options
Strong focus on health and well-being through private health insurance, mental well-being initiatives and access to well-being platforms
Hybrid working model and the possibility to work from home, supported by home office set-up allowances
Modern, collaborative office environments with spaces designed for focus, rest and social activities
Additional paid leave options, including extra days off for rest, volunteering and other important life events
Competitive monetary benefits, including pension or long-term savings contributions, insurance coverage
Specific local terms and conditions will be shared as part of the recruitment process.
Your job function (position) in the job contract will be Business Insights.
If you're interested in this role and joining our team, feel free to contact Team Leader Katrine Waldorff, via email kawa@danskebank.dk.



