Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 67.400 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze data flows, translate compliance requirements into precise product specifications, and optimize data quality within an international, agile team.
Job Technologies
Your role in the team
- Act as the bridge between compliance and engineering, aligning stakeholders with different priorities and ensuring discussions remain productive and outcome-driven.
- Contributing to our team spirit - we are an international, distributed team and we make that work.
- Translate requirements across AML transaction monitoring, KYC, case management, and reporting into structured data product specifications (schemas, field definitions, business rules, and measurable data quality criteria).
- Analyze end-to-end data flows across our event-driven architecture (Apache Pulsar, Databricks) and identify gaps between stakeholder needs and current data products.
- Lead requirements discovery and backlog refinement together with product, engineering, and reporting stakeholders.
- Own data quality monitoring requirements: define freshness, completeness, and correctness thresholds and drive incident resolution and root-cause analysis with engineering.
- Design and execute test cases for data pipeline deliveries, validating mappings, transformations, and completeness before go-live.
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Our expectations of you
Qualifications
- Starkes Verständnis von Data Modelling- und Data Architecture-Konzepten, idealerweise in BI-, Analytics- oder Data Platform-Umgebungen.
- Curious, with a sense of humour, and motivated to improve the architecture, processes, and tools you work with.
- You treat AI tools as force multipliers: using them actively in analysis, documentation, and validation, while applying sound judgment to outputs.
- Ability to write precise, testable acceptance criteria and clear data quality definitions (completeness, freshness, correctness).
- Comfortable working across technical and business discussions, with the ability to build common ground between stakeholders with different perspectives.
- Structured and self-reliant working style, taking end-to-end ownership and driving topics to completion.
- Proactive and team-oriented, surfacing blockers early and coming with solutions, not just problems.
- You understand agility as a mindset, not a framework - and apply it pragmatically in your daily work.
- Strong English skills for collaboration across RBI.
Experience
- Experience in a business analyst or data analyst role, preferably in financial services, banking, or compliance.
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What we offer
- Flexible hours, work-from-home options from Austria, and 30 days/year remote work from any EU country.
- 75+ nationalities, English as the company language, and work permit support.
- We believe in continuous learning and proactive career development.
- Subsidized canteen, well-being programs, check-ups, and sport allowances.
- Discounts, exclusive banking terms, and a heavily subsidized public transport pass.
- Child allowances, gender-neutral parental leave, bilingual company kindergarten, and holiday childcare.
- Starting at EUR 67,400 gross per annum including overtime, with market-compliant overpayment based on experience and qualifications.
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Benefits
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Job Locations
This is your employer
Raiffeisen Bank International AG
Wien, Wien
The Raiffeisen Bank International AG (RBI) is a leading commercial and investment bank in Austria and also considers Central and Eastern Europe (CEE) to be its home market. In CEE, the RBI has a tightly knit network of subsidiaries, leasing companies, and a variety of specialized financial service providers in 17 markets.
Description
- Company Size
- 250+ Employees
- Founding year
- 2010
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Dev Reviews
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(4 Reviews)4.1
Culture
4.4Career Growth
4.0Workingconditions
4.7Engineering
3.6