Data Analyst at airapps | Berlin Metropolitan Area

Role Overview airapps is looking for a Data Analyst to join the team in the Berlin Metropolitan Area. This role focuses on turning data into insights that guide decisions and shape strategy. What You Will Do Work with teams across the company to identify data needs and opportunities Analyze raw data and translate findings into clear, actionable recommendatio…

Role Overview airapps is looking for a Data Engineer to help shape and maintain the data infrastructure that supports our products and teams. This position is based in the Berlin Metropolitan Area. What You Will Do Design, build, and improve data pipelines to move and transform data efficiently Work with data scientists and analysts to deliver reliable, accessible data for analysis and reporting Optimize existing systems to ensure scalability and reliability as data volumes grow Support the team’s efforts to turn raw data into meaningful insights for business decisions About airapps airapps focuses on building data-driven solutions and values collaboration across technical and analytical teams. The company’s mission centers on turning data into actionable insights.

Join Quince as a Data Analyst in Marketing and be a key player in driving our marketing strategies through data-driven insights. Your analytical skills will help us understand market trends, customer behavior, and campaign performance, enabling us to make informed decisions that enhance our marketing efforts.

Veeva Systems is a mission-driven leader in the industry cloud, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies, our revenue exceeded $3 billion last fiscal year, with promising growth opportunities on the horizon. Guided by our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—we achieved a historic milestone in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we prioritize your flexibility to work from home or in the office, fostering an environment where you can excel. Join us in transforming the life sciences industry, as we strive to create positive impacts for our customers, employees, and communities.The RoleAs a key member of the Veeva Link product team, you will contribute to our goal of becoming the global leader in deep data for life sciences. We are seeking a meticulous and seasoned Data Analyst who will be instrumental in establishing a robust data governance framework, ensuring the accuracy, completeness, and integrity of our data assets. Your responsibilities will include implementing data quality monitoring processes, identifying the root causes of data discrepancies, and collaborating with cross-functional teams to address data inconsistencies.To excel in this position, you should possess strong skills in SQL and Python for data manipulation and automation. You should be proficient in working with large datasets, designing insightful dashboards with actionable insights, and applying statistical methodologies to enhance data quality.The ideal candidate will have a background in creating documentation such as process manuals and data collection guidelines, and will actively contribute to the development of data governance policies and best practices.

Join Our Vision at andercoreandercore is an innovative AI-powered trade platform revolutionizing the industrial supply chain across vital sectors such as infrastructure, energy, and construction materials. Our platform seamlessly connects trusted suppliers from Asia, Europe, and the GCC region to local markets through a unified, integrated system.Utilizing our proprietary AI infrastructure, we automate and digitize the entire lifecycle of materials trade—from procurement and pricing to inventory management, logistics, and embedded financing. This transformation replaces traditional manual processes with real-time orchestration, enhancing efficiency and reliability.Our buyers benefit from instantaneous quotes, guaranteed product availability, and predictable delivery timelines, while suppliers gain insights into accurate demand forecasting and streamlined management of cross-border fulfillment networks. We collaborate with industry-leading brands to facilitate both dropship and cross-dock fulfillment strategies, transforming complex global supply chains into systematic, software-driven workflows.Having achieved triple-digit million GMV and operating in six international markets, we are on an accelerated path toward profitability. Our dynamic team of over 80 professionals, headquartered in Berlin with an expanding presence in Asia, is committed to developing the world’s first industrial-grade AI operating system for materials, redefining global trade in one of the most critical industries worldwide.Backed by prominent investors and global institutional banking partners, including a recent successful $40 million Series B round from Atomico, Project A, and Invent Capital, with support from Commerzbank and KfW, we are poised for significant growth.

Join our dynamic team as a Mid-Level Data Platform Engineer (m/f/d) and play a crucial role in building and maintaining the data infrastructure that drives Flix’s innovative mobility platform.At FlixTech, our cutting-edge data platform empowers teams across the organization to effectively process, analyze, and leverage vast amounts of mobility data. This infrastructure is vital for key functionalities such as network planning, pricing, operations, and business intelligence. You will develop scalable systems that handle millions of events daily, ensuring dependable data access for the entire organization.As part of a collaborative, cross-functional engineering team, you will work closely with data analysts, data scientists, and platform engineers. Your contributions will focus on establishing robust, scalable data systems that enhance data accessibility and efficiency for various teams.

At Zoi, we are revolutionizing the manufacturing and retail sectors with cutting-edge AI strategies that provide tangible business results. Our commitment goes beyond mere consultation; we implement, maintain, and scale solutions that transform AI adoption into a significant competitive edge for our clients.We are excited to grow our European presence in cities including Stuttgart, Berlin, Cologne, and Lisbon. Choose the Zoi location that suits you best! Inter-office travel is encouraged.YOUR ROLEYou will perform in-depth analysis of extensive and intricate datasets within cloud environments to derive actionable insights for our clients.You will design impactful dashboards and reports that empower data-driven decision-making.You will work collaboratively with our Data Engineers and Cloud Architects to enhance data pipelines and models.You will recognize trends and patterns in data to uncover business opportunities and tackle challenges.You will effectively communicate your findings to both internal teams and external clients in a clear and understandable manner.WHO WE'RE LOOKING FORYou hold a degree in (business) mathematics, computer science, statistics, or a related field.You have proven experience in data analysis and managing substantial data volumes.You are proficient in programming languages such as Python or R for conducting data analysis.You have experience with cloud platforms (e.g., AWS, GCP, Azure) and their associated data analysis services.Familiarity with SQL and data visualization tools (e.g., Tableau, Power BI, Looker Studio) is an advantage.You possess excellent communication and interpersonal skills, capable of conveying technical concepts to both technical and non-technical audiences.You have strong written and verbal English skills.If you thrive in an environment surrounded by talented individuals, Zoi is the place for you. Join our community of tech enthusiasts and unlock your full potential. Contribute innovative ideas and help shape the digital transformation journey of our enterprise clients sustainably.REWARDING EXCELLENCE is a core value at Zoi, which is why we offer various bonus models to recognize your contributions.

smava GmbH is Germany’s leading online credit comparison platform. The company focuses on making loans more transparent, fair, and affordable for consumers. With over 300,000 customers, smava continues to influence the digital landscape of consumer lending. Role overview The Data Engineer (f/m/d) will join the Data Platform team in Berlin. This group is responsible for providing the data infrastructure and services that power the entire organization. Their work enables teams across smava to make informed decisions, with a strong emphasis on speed, safety, and security. What you will do Maintain, improve, and update the data platform to meet evolving business requirements. Design and implement data models, including those using Data Vault methodologies. Develop scalable batch and streaming data pipelines for efficient data processing. Collaborate with Business Analysts, Analytics Engineers, Data Scientists, and fellow Data Engineers on important data projects. Uphold high standards for data reliability, quality, and performance throughout the systems. Promote improvements in infrastructure by applying best practices and automation. Technology stack AWS: Redshift, S3, Kinesis, Glue, Aurora, DMS, EC2, ECS, Fargate, and more Data Engineering: Python, dbt, Dagster, Matillion Infrastructure: Terraform, Docker, CI/CD Other Tools: Segment, Linux, Tableau Further details about the team's work can be found in these articles on AWS and Dagster. This role is based in Berlin.

Join Peec as our Director of Data Science!At Peec, we are on a mission to revolutionize AI-driven search recommendations. We are seeking an experienced Director of Data Science to lead our talented team, drive innovation, and develop cutting-edge machine learning solutions that will define the future of our products.Your ResponsibilitiesLead, mentor, and inspire a high-performing data science team, effectively communicating complex technical concepts to stakeholders including executives, customers, and partners.Design, implement, and manage the machine learning models that enhance Peec’s AI Search recommendations, taking ownership of our critical ML systems.Innovate and develop state-of-the-art algorithms that dissect AI search and LLM behavior, translating deep technical knowledge into competitive advantages for our customers.Oversee the entire ML lifecycle, from foundational research and rigorous testing to deployment, monitoring, and constant enhancement.Architect scalable data and ML systems, making impactful decisions regarding data pipelines, modeling methodologies, evaluation processes, and model deployment.Write and review high-quality production code, establishing a technical standard for the organization.Your QualificationsMinimum of 8 years of professional experience in data science, with at least 3 years in a leadership position at a high-growth startup or a top-tier tech company (e.g., Tech Lead, Engineering Manager, or Software Development Manager).A proven leader in data science with a unique blend of technical expertise and proven track record of delivering impactful ML products in dynamic environments.Experience in owning and scaling complex ML systems from initial research ideas to reliable, high-impact production solutions.Exceptional proficiency in Python and applied machine learning with a strong understanding of APIs, data pipelines, ML infrastructure, and production reliability.A solid, foundational understanding of LLMs and AI search systems, with the capability to critically analyze, reverse-engineer, and reason about model behaviors.Track record in making significant decisions that drive data science initiatives forward.

About Helsing Helsing develops defense AI technology with a focus on protecting democracies. The company aims to advance technology so that open societies can make independent choices and uphold ethical values. Helsing’s team brings together engineers, AI specialists, and program managers who are committed to responsible innovation and open discussion about technology’s role in defense. Role Overview: Material Data Specialist The Material Data Specialist ensures accurate availability and provisioning of spare parts for complex defense systems. This role manages and maintains material data according to the international ASD S2000M specification. The position works in close partnership with internal teams, subcontractors, and clients, helping maintain operational integrity by providing essential material data and supporting logistics coordination. What You Will Do Plan, maintain, and manage material data following the S2000M specification to support precise spare parts provisioning. Create and update illustrated parts breakdowns using tools such as IsoDraw or Adobe Illustrator for clear visual identification. Operate and maintain a Common Source Database (CSDB), ensuring data consistency, quality, and integrity across platforms. Participate in Guidance Conferences and Provisioning Approval Meetings (PAMs) to meet customer logistics requirements. Work closely with internal departments and subcontractors to support seamless operations. Location This position is based in Munich or Berlin.

About UsAt Melotech, we are at the forefront of transforming the media and entertainment landscape. Our innovative approach combines art and technology, enabling audiences around the globe to immerse themselves in experiences that have collectively reached over 3 billion minutes of engagement in just two years. Founded by visionary entrepreneur Soheil Mirpour and supported by premier venture capitalists like Cherry Ventures, Speedinvest, and GFC, as well as influential figures from major firms such as Spotify, Blackstone, and KKR, we are poised to lead the next wave of cultural evolution.Your RoleAs a Data Science Intern, you will play a pivotal role in untangling the complexities of cultural data. Your insights will help us uncover emerging trends, predict viral phenomena, and identify underserved market segments. Working independently alongside our founder and a dynamic team, your contributions will directly shape our strategic decisions. On a typical day, you can expect to:Innovate new data sourcing methods using advanced scraping techniquesDevelop robust data processing pipelines to manage raw, unstructured informationLeverage LLMs and cutting-edge coding tools to streamline data cleaning and analysisInitiate EC2 instances for real-time data gathering and automated scraping tasksPrototype and deploy machine learning models on AWS for immediate insights and content evaluationCraft custom dashboards and reports to present your findings to key stakeholdersAnalyze audience trends and performance metrics to influence critical business decisionsCandidate ProfileWe are seeking aspiring Data Scientists who recognize that impactful insights emerge from transforming chaotic, unstructured data into strategic business intelligence. You are not just a model builder; you are a problem solver who creatively accesses difficult data sources and translates statistical insights into actionable plans. Ideal candidates will possess:Enrolled in or recent graduate of a degree program in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative fieldPractical experience in data science within fast-paced business environments, including Tier 1 consulting, major tech companies, or prominent media organizationsProficiency in Python, with a solid understanding of data science libraries and frameworks

Join our innovative team at billie as a Data Scientist (w/m/d) in the vibrant city of Berlin. We are seeking a data-driven individual who is passionate about leveraging data to drive business decisions and improve outcomes. This role involves analyzing complex data sets, building predictive models, and collaborating with cross-functional teams to enhance our product offerings.

At Enpal, we are more than just a company; we are a pioneering movement. As a prominent greentech unicorn and one of Europe’s fastest-growing energy providers, our mission is to make solar energy accessible and simple for homeowners throughout the continent. Our forward-thinking business model for solar panels, heat pumps, home energy storage solutions, and EV charging stations is transforming the residential energy landscape. We empower homeowners to adopt clean energy, setting the stage for a sustainable and decentralized energy future.As the foremost leader in residential solar, Enpal is advancing its next venture: Enpal Energy, our platform designed for the management, optimization, and orchestration of millions of distributed energy assets. This includes the development of Europe’s largest Virtual Power Plant (VPP), which connects solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and create new revenue opportunities for our customers.We envision a bold future: to be the cornerstone of Europe’s shift towards distributed, intelligent, and clean energy generation.We are in search of a Data Scientist to enhance our expanding Energy Data Science team. Your contributions will directly influence energy trading decisions within one of Europe's largest residential energy communities, having a tangible impact on our participation in the energy market. This role is tailored for a proactive data scientist with robust software engineering skills and experience across the entire data and ML stack.Key ResponsibilitiesDevelop, research, and implement time series forecasting models for energy markets (including load, generation, and weather forecasting), managing the complete lifecycle from data exploration and feature engineering to model training, evaluation, deployment, monitoring, and retraining.Enhance our MLOps infrastructure by contributing to experiment tracking, model versioning, automated retraining pipelines, and production observability.Effectively communicate forecasting performance and model insights to trading and product stakeholders, bridging the gap between technical results and business impact.Collaborate intimately with Data Engineers, Software Engineers, and Product teams to produce well-engineered, reliable data science solutions.Play a pivotal role in shaping our data science roadmap and contribute to innovative forecasting methodologies.Guide and mentor junior data scientists, fostering a collaborative learning environment.

Wir suchen leidenschaftliche Fahrer, die unseren Fahrgästen eine sichere und angenehme Fahrt bieten. Werde Teil unseres Teams bei einem der angesehensten Arbeitgeber in der Region!Bei uns steht der Mensch im Mittelpunkt – unabhängig von deiner Sprache oder Herkunft bist du herzlich willkommen!Was macht uns besonders?100% Trinkgeld für deine hervorragende ArbeitModerne, neuwertige FahrzeugeUnbefristeter Arbeitsvertrag für deine SicherheitPünktliche Lohnzahlungen, damit du immer zuverlässig planen kannstDeine Aufgaben umfassen:Auftragsannahme und der sichere Transport unserer Gäste zu ihren Zielen.

At GALVANY, we are dedicated to transforming climate-neutral living into a reality for all. Our core focus lies in implementing effective solutions such as heat pumps, battery storage, and smart metering, making them accessible, reliable, and affordable. GALVANY-Tech is pioneering the energy transition through innovative software solutions. We are developing an AI-driven Operating System that facilitates the sales, planning, installation, and operation of heat pumps and integrated energy systems, catering to everything from single-family homes to multi-unit buildings, and operating within our Energy Community as a Virtual Power Plant.As a successful green-tech startup, we believe that sustainable impact and long-term growth can only be achieved through a robust business model. We prioritize customer value, transparency, and accountability, standing firmly for top-quality heating solutions and fostering an environment where individuals take charge and create lasting changes.The RoleAs a Senior Data Engineer at GALVANY, you will design and maintain the data infrastructure that supports our AI-based Operating System. You will process real-time energy data from heat pumps and integrated systems, construct data pipelines that empower AI models and analytics, and guarantee the integrity of data across our entire ecosystem—from individual residences to our Virtual Power Plant.

Join our dynamic Quick Commerce team as a Data Engineer and be a part of our mission to deliver exceptional experiences to our customers.Your primary responsibility will be to enhance and maintain our extensive data model architecture hosted on Google Cloud. You will dive into our data platform, tackling complexities in data pipelines, identifying areas for improvement, and optimizing system performance and scalability. As a core team member, you will oversee the data platform's infrastructure, ensuring continuous monitoring and optimization of pipelines, queries, and databases for peak performance and availability.On a daily basis, you will design, build, and maintain scalable data ingestion and ETL pipelines using SQL and Python, with a commitment to high data quality, integrity, and minimal latency. You will also play a pivotal role in governance and standardization, advocating for best coding practices while contributing to the development of our data foundations, analytics, and data science initiatives. Collaborating on data catalogs and access controls will ensure that all data processes meet stringent accuracy, privacy, security, and compliance standards.As a key collaborator, you will establish Data Contracts across multiple Domain Data Units and optimize workflows among various stakeholders. You will work closely with cross-functional teams to define data requirements and refine data models tailored for our DataMesh environment.Manage and optimize the data platform's infrastructure components, enhancing performance and availability.Design and maintain scalable data pipelines and ETL processes using SQL and Python, ensuring superior data quality and low latency.Collaborate with cross-functional teams to define requirements and enhance data models in a DataMesh setting.Engage in data cataloging and access control to ensure compliance with data accuracy, privacy, and security standards.Develop foundational data products for analytics teams, troubleshoot data quality issues, and support the BI toolbox.Be a part of transforming the quick commerce landscape. Your contributions will help scale our non-food offerings, tap into new market segments, and drive significant revenue growth. Through innovation in the Quick Commerce Team, you will help position Delivery Hero as the preferred platform for a diverse range of products, enabling us to deliver more value to customers globally.

Join Lalamove as the Driver Operations Manager in Berlin, where you will spearhead the growth and retention of our driver supply for operations across Germany. This dynamic role requires quick thinking, robust problem-solving skills, and a collaborative mindset to ensure the success of our driver community on the Lalamove platform. You will have a unique opportunity to make a significant impact in your market through strategic growth initiatives and optimization efforts.

ib vogt GmbH is looking for a Junior Data Analyst to join the team in Berlin. This entry-level role centers on transforming raw data into clear, actionable insights that support decision-making and operational improvements. Role overview The Junior Data Analyst works closely with colleagues to analyze and interpret data, helping guide projects focused on renewable energy solutions. The position supports ongoing efforts to optimize processes and inform business strategies through data-driven findings. Key responsibilities Assist in collecting, cleaning, and organizing data from various sources Prepare reports and visualizations that highlight trends and findings Support the team in identifying opportunities for operational improvements Location This position is based in Berlin.

Join Almedia, a cutting-edge company reshaping the marketing landscape and striving to become Germany's next bootstrapped unicorn. Recognized as Europe's third fastest-growing company in 2025 (FT1000), we provide an exceptional environment for ambitious professionals to accelerate their careers.Our innovative platform rewards a vibrant community of over 60 million users for their engagement with top-tier products from global advertisers, presenting a unique opportunity to redefine user acquisition strategies.We are seeking a Creative Data Scientist, specializing in marketing creatives and user acquisition, to leverage data science, advanced statistical techniques, and A/B testing methodologies. Your contributions will directly influence our paid growth performance through deep analysis and optimization of ad creatives.This role is hands-on, grounded in real-time experimentation and measurable outcomes.

Veeva Systems is a mission-driven organization at the forefront of industry cloud solutions, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities ahead.Our core values define us: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just a public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.At Veeva, we embrace a Work Anywhere philosophy, allowing you the flexibility to work from home or in the office, ensuring that you can thrive in your preferred environment.Join us in transforming the life sciences industry, with a commitment to making a meaningful impact on our customers, employees, and communities.The RoleAs the Data Extraction Manager for Veeva OpenData Commercial, you will lead a dynamic team of 6-8 data analysts focused on extracting and processing website data. Your team will utilize our proprietary toolchain to configure crawlers for data extraction, which will subsequently be processed using Python scripts on our data platform. This position plays a crucial role in ensuring data freshness and availability for our customers, directly contributing to their success. In addition to managing crawlers, your team will also engage in classic analytical tasks such as generating ad-hoc reports and visualizations.