WE ARE THE RELIABLE PARTNER FOR ALL CHALLENGES RESULTING FROM THE INTERNET OF THINGS. WE OFFER A COMPLETE CONNECTIVITY PORTFOLIO FOR MOBILE NETWORK OPERATORS, AUTOMOTIVE MANUFACTURERS, TECHNOLOGY COMPANIES SUCH AS CHIP AND MODULE MANUFACTURERS AS WELL AS TRANSPORT AND LOGISTICS PROVIDERS. OUR PORTFOLIO INCLUDES HIGHLY SECURE SOLUTIONS IN THE AREA OF CONNECTIVITY & IOT, FROM CLASSIC SIM, ESIM AND ISIM, TO THE ASSOCIATED EMBEDDED OPERATING SYSTEMS AND LIFE CYCLE MANAGEMENT, THROUGH TO SERVICES FOR GLOBAL CONNECTIVITY AND IOT SOLUTIONS. DO YOU WANT TO ACTIVELY SHAPE THE DIGITAL TRANSFORMATION WITH US?

G+D IoT Solutions is looking for a Data Analytics Specialist m/f/d. Are you ready to embark on an exciting journey with us?

YOUR QUALIFICATIONS

• Bachelor’s degree in Data Analytics, Business Management, Information Science, or a related field – Master degree is a plus
• A strong mix of business understanding and technical expertise
• Experience in transportation, logistics, or IoT data analytics is desirable
• Hands-on experience with SQL and .NET as well as with data analytics tools like Power BI, Qlik, or similar platforms
• Proficiency in Python for data analysis and machine learning (experience with libraries like Pandas, Scikit-learn, or TensorFlow is a plus)
• Ability to think in business use cases, understand customer needs, and translate them into data-driven solutions
• Strong data wrangling and manipulation skills making raw data usable
• Solid problem-solving skills and ability to recognize patterns and trends in complex data.
• Strong communication and presentation skillsable to explain technical insights to non-technical stakeholders.
• Ability to work independently in a fast-paced environment while collaborating with cross-functional teams.
• Fluent in English (German is a plus)

• Analyze and interpret large datasets to generate actionable business insights in the IoT and transportation/logistics domain
• Develop, in close collaboration with customers and stakeholders, data-driven solutions for real-world use cases
• Utilize analytics tools to clean, process, and extract value from data
• Design and build dashboards, reports, and data models
• Identify opportunities for process optimization and efficiency improvements through data-driven approaches
• Stay up to date with industry trends, best practices, and emerging AI/ML technologies relevant to IoT data analytics
• Ensure data quality, integrity, and usability by managing data pipelines and pre-processing
• Present findings in a clear, business-oriented manner to both technical and non-technical stakeholders as well as top management
• Travel occasionally when required to collaborate with teams, customers, and partners
• Independently develop data analytics queries, models, dashboards, and solution approaches for new products and services
• Work on data preparation, cleansing, and transformation to ensure high data quality
• Collaborate with business leaders, customers, and domain experts to define and implement data-driven proof of concepts (PoCs)
• Apply machine learning techniques where applicable to improve operational efficiency and decision-making
• Evaluate and implement AI and analytics technologies that enhance business intelligence capabilities
• Ensure that insights derived from data are actionable and aligned with business goals
• Stay updated on industry trends and new technologies to continuously improve analytics strategies, i.a. liaise with our divisional AI lead and board