Business Intelligence Analyst/Data Engineering in Finance Tribe (Customer Profitability squad)

Job description

We are the Customer Profitability squad within the Finance Tribe - a dynamic and geographically diverse team consisting of Business Analysts, Data Engineers and Cloud Platform specialists based in Denmark and Lithuania. We follow an agile framework, with our Product Owner located in Lithuania. As Data Engineer you will be part of the Data Engineers/Business Intelligence Analysts chapter, which is led by a dedicated Chapter Lead.

Our squad delivers a solid data foundation & reports enabling advisors, performance management and other decision makers to efficiently assess customer profitability. We secure profitability setup by continuous optimization and ongoing support of our data. We are looking for an analytical, curious and service-minded colleague who enjoys working across business, finance and data. You take ownership, ask critical questions and bring structure to complex topics while balancing recurring operational work with change initiatives.

You communicate clearly with both business and IT stakeholders, learn quickly and stay reliable when several priorities run in parallel.

You will: Run monthly data updates, validations and reconciliations to ensure accurate and timely reporting. Investigate data quality issues, unexpected movements and incidents, and support root-cause analysis. Gather and challenge requirements, translate them into business rules, data mappings and validation criteria. Trace data from source systems through ETL processes to reports and participate in solution design. Validate new implementations and changes, document findings and improve controls.

Support users by explaining data definitions and calculations and resolving reported issues. Coordinate recurring activities, data providers, deadlines and manual uploads. Maintain Jira stories, process documentation, user guides and operational runbooks.

About you

Strong SQL skills and hands-on experience working with data in analytical databases. Experience translating business needs into clear data, ETL and reporting requirements, including business rules and validation criteria. Analytical and problem-solving skills, with excellent attention to detail and a focus on data quality. Communication and interpersonal skills, with the ability to explain complex topics clearly and collaborate effectively across business and IT.

A results-oriented approach, positive mindset and proactive can-do attitude, combined with ownership and the ability to work independently. A strong learning mindset and motivation to continuously improve both your skills and the solutions you help develop. Advanced written and spoken English. A bachelor’s degree in a relevant field, such as IT, economics or mathematics, is an advantage.

Would be beneficial

experience with Python, AWS services such as Glue, Step Functions, Lambda and S3, code versioning tools such as Git, and an understanding of profitability KPIs such as income, margin, allocated capital and ROAC.

We offer

Monthly salary range from 3280 EUR to 4920 EUR gross (based on your competencies relevant for the job). Additionally, each Danske Bank employee receives employee benefits package which includes: Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.

Health & Well-being

a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.

Hybrid working conditions

Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.

Additional days of leave

for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.

Monetary compensation package

accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution. See all the benefits HERE . Your title in job contract will be Data Engineering Feel free to contact Renata Tumenenie @ LinkedIn if you have any questions.