Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 48.000 to 60.000€ gross/year
- Location
- Wels
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop advanced machine learning models, automate data pipelines, and translate data analyses into strategic recommendations to drive business success.
Job Technologies
Your role in the team
- Definition and management of data strategy initiatives in alignment with corporate objectives.
- Development, validation, and implementation of advanced machine learning and statistical models.
- Translation of complex data analyses into strategic business recommendations.
- Integration of predictive models into scalable data products and operational processes.
- Ensuring compliance with data governance, quality, and ethical standards.
- Automation, operation, and continuous optimization of data pipelines and the development of robust data pipelines for data collection and processing.
- Leadership in the development of innovative machine learning models and advanced analytical methods.
- Conducting strategic analyses to support business decisions.
- Mentoring and technical support for Junior and Professional Data Scientists.
- Close collaboration with executives and stakeholders to align data-driven initiatives with the company's strategy.
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Our expectations of you
Qualifications
- Strong analytical and conceptual skills as well as a high affinity for numbers.
- Excellent knowledge of Python (e.g., for data preparation, analysis, and modeling).
- Dedicated, independent, and results-oriented work approach, as well as a high sense of responsibility, teamwork skills, and reliability.
- Ability to translate complex data analyses into impactful business recommendations.
Experience
- At least 5 years of professional experience in Business Intelligence / Data Analytics (Marketing) or a comparable position.
- Solid expertise in marketing analytics as well as ideally practical data science experience to develop data-driven decision-making foundations.
- Extensive experience with Google BigQuery, or alternatively with comparable SQL database systems (preferably cloud-based).
- Experience with Microsoft Power BI or comparable BI tools.
- Experience in defining and leading data strategy initiatives as well as in the strategic alignment of data collection and processing with corporate objectives.
- Experience in automation, operation, maintenance, and continuous optimization of data pipelines.
- Experience in integrating predictive models into scalable data products and operational processes.
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What we offer
- Health & Wellbeing: Free coffee, tea, beverages, fresh fruit and vegetables, as well as discounted meals in the cafeteria or meal allowances (location-dependent). Modern workplaces for all needs.
- Culture & Development: We value personal responsibility, flat hierarchies, and open feedback. We foster a team spirit where support and collaboration are prioritized. Enjoy 2 Learning Days per quarter, an internal learning campus, and external development opportunities.
- Flexible work-life balance: Enjoy flexible working hours and various options for remote work.
- Celebrations & Milestones: Team events and special acknowledgments for birthdays & anniversaries.
- Location-specific benefits: Customized benefits tailored to the needs of each location.
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Benefits
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏠Home Office
- 🚌Excellent Traffic Connections
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
Health, Fitness & Fun
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
XXXLutz KG
Wels, Wien
Since over 65 years, XXXLutz has been providing attractive and safe jobs with excellent earnings and career opportunities. More than 20,900 employees find interesting and exciting tasks in diverse areas of work.
Description
- Company Size
- 250+ Employees
- Founding Year
- 1945
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Trade
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.7
Culture
3.5Career Growth
4.1Workingconditions
3.8Engineering
3.5