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
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Topics that you deal with on the job
Job Locations
This is 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
Employee Performance & Data
- Salary
- from 46.253 € Gross/Year
- Location
- St. Pölten
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
