5 data analytics jobs found in Erlangen

Location:   Remote Scope:   Flexible according to your availability (100+ hours/month also possible) Start:   Immediately Type:   Freelancer collaboration Do you know how to turn big data into smart decisions? Do you not only understand SQL and Python, but also think in terms of business metrics and strategic insights? Do you want to use your analytics expertise to create real business impact with state-of-the-art tools, rather than wasting it on endless reports? Then we're looking for you! To strengthen our team in the area of ​​Business Intelligence and Marketing Analytics, we are looking for   a freelance Data Analytics specialist (m/f/d   ) who understands data as a strategic asset, to start as soon as possible. Your tasks Analytics architecture: Building scalable analytics infrastructures Business Intelligence: Development of KPI systems and decision-making tools Marketing performance: Implementation of advanced tracking and attribution...

Our goal is a solar panel on every roof, a storage system in every house, and an electric car in every garage. Enpal makes this possible with an integrated, comprehensive solution for decentralized energy – from solar panels and battery storage to wallboxes, smart meters, and heat pumps. At its core is our AI-powered platform, Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity consumption and feed-in on the energy market. Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of homes every day? What you create at Enpal will provide clean energy tomorrow and sustainably change how we use energy. Your tasks Analysis and optimization of existing business processes with a focus on   automation potential Design and implementation of   automation solutions   (e.g., using APIs, no-code/low-code tools, or scripts) Support in   integrating AI solutions...

Your daily business: Responsibility for the conception, further development, and operation of our modern data warehouse and analytics platform. Analysis of business requirements and their translation into scalable data models, data pipelines, and reporting solutions. Development, optimization, and automation of data integration processes (ELT/ETL) using modern technologies such as Microsoft Fabric, dbt, Azure Data Factory, or comparable solutions . Design and implementation of interfaces, APIs, and integrations to internal and external systems. Modeling and provision of high-quality data structures for reporting, analysis, and self-service BI use cases. Ensuring data quality, data consistency, and performance along the entire data value chain. Technical consulting and close collaboration with business units, product owners, and external partners. Participation in architectural decisions and the continuous development of our data and analytics landscape. Responsibility for...

Senior Data Analyst (m/f/d) VYDA   is one of the leading data experts in the German-speaking world, combining human expertise with innovative technology. As a responsible partner for process automation, VYDA supports data-driven transformation in the insurance and real estate sectors. With over 400 employees, the Münster-based company combines in-depth industry know-how with ISO-certified technology and many years of experience in end-to-end business process management. With tailored solutions, VYDA strengthens the competitiveness of companies in the areas of motor vehicle, property, personal injury, and real estate. AI-supported processes and professionally validated analyses form the foundation for data-driven decision-making in the insurance and real estate industries. The company works closely with its strategic partner, the expert office STIBL in Austria. VYDA – Value your Data. Further information at www.vyda.de Become part of our success story and apply to...

A Snapshot of Your Day You work closely with a growing AI Development-Team to build and run reliable services for industrial AI applications. Your day combines focused development time in Python, collaboration on API and data flow design, and hands-on work with cloud services. You support the deployment and operation of machine learning models, discuss performance and scalability topics with the team, and continuously explore new technologies. Regular exchanges in an international environment ensure alignment, learning, and steady progress of the platform. How You’ll Make an Impact Development and maintenance of Python-based microservices forming the backend of AI applications Integration and operational support of machine learning models in production environments Management of data flows, scalability, and reliability within a cloud infrastructure, primarily AWS Collaboration with AI and engineering teams to ensure efficient data availability and model...