Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Bonn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative data and analytics concepts using Python, create interactive Tableau dashboards, and leverage AI methods to promote data-driven decision-making within the organization.
Job Technologies
Your role in the team
- You develop innovative data and analytics concepts and support the expansion of data-driven corporate management through modern analytics methods.
- You analyze large and complex datasets using Python and derive well-founded insights as well as concrete recommendations for the business.
- You design and implement interactive Tableau dashboards and reporting solutions that create transparency and support data-driven decision-making at all levels.
- You utilize modern AI and machine learning approaches to identify forecasts, patterns, and optimization potentials in business-relevant data.
- You drive the digitalization and automation of analysis and reporting processes forward, sustainably increasing efficiency, data quality, and availability.
- You act as an interface between business units, Data Analytics, and IT, supporting the development of a modern data-driven corporate culture.
- You identify value creation and optimization potentials based on data-driven analyses and support their implementation together with the relevant stakeholders.
- You evaluate new technologies and application areas in the fields of Artificial Intelligence, Advanced Analytics, and Business Intelligence, and integrate them into the organization.
- You develop meaningful KPI frameworks and support management with analytically sound decision-making bases.
- You take an active role in the development of analytics, automation, and AI applications, contributing to establishing data-driven innovations within the company.
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Our expectations of you
Education
- Successfully completed master's degree in Business Administration, Business Informatics, Computer Science, Data Science, or a comparable qualification
Qualifications
- Very good understanding of data models, business management contexts, and KPI-based control logic.
- Excellent Python skills with proven experience in data analysis, data modeling, automation, and processing large datasets.
- Strong analytical and conceptual skills as well as a structured, independent working style.
- Excellent Excel skills and proficient use of standard Microsoft Office applications.
- Excellent written and spoken proficiency in German and English.
Experience
- Several years of professional experience in Data Analytics, Business Analytics, or data-driven corporate management.
- Essential, solid practical experience in Tableau or comparable BI platforms as well as in the development of complex dashboards and reporting solutions.
- Proven experience in the application of modern AI technologies and advanced analytics methods, such as Generative AI, Machine Learning, Predictive Analytics, or intelligent automation solutions.
- Experience with CRM systems and sales-related data structures, ideally Salesforce.
- Experience in managing complex, cross-departmental projects and stakeholder management.
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What we offer
- Flexible working hours as well as partial remote work from home.
- Attractive employee benefits such as leasing company bikes, voluntary occupational pension schemes, asset-building benefits, and much more.
- Secure your position at Germany's largest logistics service provider
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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
SYNERGIE Personal Deutschland GmbH
SYNERGIE Personal Deutschland GmbH is an established company in the field of personnel consulting and services. With over 45 years of experience, SYNERGIE supports companies in recruitment and employee accompaniment.
Description
- Company Type
- Recruiting Agency
- Working Model
- Hybrid, Onsite
- Industry
- Recruitment Agency
Senior Expert Data Analytics
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
