Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 46.253 € gross/year
- Location
- St. Pölten
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will analyze process and performance data, develop KPIs, build dashboards, and present information to create decision-making bases and transparently showcase progress.
Job Technologies
Your role in the team
- As a Performance & Data team member, you are part of the Smart Works Solutions Office at HYPO NOE and provide the analytical foundation for better decision-making.
- They ensure that improvements in processes become traceable, transparent, and assessable.
- Your work supports leaders and teams in contextualizing developments, making progress visible, and targetedly advancing measures — always with a focus on benefit and impact.
- In this role, you analyze process and performance data, develop business cases, and design KPI models that provide guidance.
- They build dashboards, prepare information in an understandable way, and support the Smart Works Solutions Office in clearly presenting progress and impacts.
- In close collaboration with the Head of Smart Works Solutions Office as well as colleagues from Transformation and Digital & Automation, you ensure that data is not viewed in isolation but within the context of processes, objectives, and decision-making needs.
- Your focus is on preparing analysis results in a way that they can be used in everyday life and create real added value.
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Our expectations of you
Qualifications
- Strong analytical skills that enable you to systematically address complex issues and translate them into clear, comprehensible decision-making bases.
- A good understanding of the relationships between processes, resources, and business impacts, enabling you to assess developments realistically and present them transparently.
- Very high proficiency in handling BI tools, Excel, or similar, enabling you to independently and reliably develop analyses, KPI models, and dashboards.
- Enjoyment in preparing data in a way that provides orientation, creates clarity, and meaningfully supports change.
Experience
- Several years of experience in data analysis, controlling, or performance management, ideally in a financial or process environment.
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What we offer
- With flexible working arrangements and the possibility to work remotely (50:50 home-office rule), HYPO NOE supports a good work-life balance.
- Through targeted development opportunities, you continuously strengthen your skills in data analysis, KPI design, and business cases.
- By working in the new Smart Works Solutions Office, you will benefit from short decision-making processes and a constructive exchange across all areas.
- In an environment that values transparency and collaboration, you will find ideal conditions to effectively utilize your analytical skills.
- With modern working methods and a clearly structured framework, we make it easier for you to get started with your tasks and collaborate effectively within the team.
- Well-structured processes, clear responsibilities, and modern working methods facilitate your onboarding and daily work.
- We pay fairly and in accordance with your qualifications. The basis for this position is a gross annual salary of €46,253.76 (full-time 38.5 hours) according to the collective agreement.
- We are happy to discuss your actual salary expectations during the interview.
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Benefits
Work-Life-Integration
Higher Take-Home Pay
Food & Drink
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
HYPO NOE Landesbank für Niederösterreich und Wien AG
Sankt Pölten
HYPO NOE Landesbank is the largest and oldest-established of Austria’s state mortgage banks, and has been a dependable commercial bank, stable state bank and specialist mortgage lender for over 130 years.
Description
- Founding Year
- 1888
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Employer reviews
by devworkplaces.com
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(1 Review)2.8
Career Growth
2.5Engineering
2.5Workingconditions
3.8Culture
2.7