Senior Analytics Engineer - Risk Analytics

SumUp is looking for a Senior Analytics Engineer to join the Risk Analytics Team in Berlin. This team sits within the Risk & Compliance Tribe and focuses on regulatory reporting, fraud detection, chargeback management, and compliance analytics across European jurisdictions. The Risk Analytics Team works at the intersection of data, regulation, and business o…

Join almedia as an Analytics Engineer and become a vital part of our innovative team in Berlin. We are seeking a passionate individual who thrives on data-driven insights and is eager to leverage analytics to enhance our business strategies. In this role, you will analyze data from various sources, develop reports, and provide actionable insights to drive business performance.

UNLOCK YOUR CAREER POTENTIAL As Europe's largest savings platform, Trade Republic is on a mission to revolutionize financial access across 17 countries, proudly serving over 8 million customers and managing assets exceeding €100 billion. We are driven by the desire to empower individuals to accumulate wealth through seamless, secure, and cost-free access to financial services. Join us in shaping a positive financial future for millions, and take your career to new heights by collaborating with a team of exceptional talents and cutting-edge technology. YOUR ROLE AND RESPONSIBILITIES As an Analytics Engineer, you will play a crucial role within our product delivery team, focusing on data ingestion, modeling, and dissemination to drive business growth. Your key responsibilities will include: Collaborating with product and business stakeholders to define impactful product metrics. Creating analytical products such as data models, dashboards, and reports to facilitate self-service reporting and analysis. Enhancing our evolving cloud-based architecture to prioritize cost efficiency and performance, while implementing best practices in software engineering. Owning projects from initial scoping through to delivery and adoption, working independently. WHAT WE SEEK IN YOU A minimum of 5 years of engineering experience with a strong analytical mindset. Comprehensive understanding of architectural design principles and engineering best practices. Experience with all stages of the data lifecycle: ingestion, transformation, and mart creation. Familiarity with our technology stack is a plus: S3, Snowflake, Airflow, Python, DBT. WHY JOIN US NOW We foster a culture of ownership, excellence, and energy. Our commitment to outcomes and accountability drives us to tackle one of Europe’s biggest challenges: closing the pension gap and democratizing wealth. If this mission resonates with you, we encourage you to reach out!

Join justplay GmbH as an Analytics Engineer and be at the forefront of driving data-driven decision-making within our organization. In this hybrid role based in Berlin, you'll collaborate with cross-functional teams to develop robust analytics solutions that empower our business to thrive in a competitive landscape.

scalablegmbh is looking for a Senior Analytics Engineer to join the team in Berlin. This position centers on building and refining data models that help unlock valuable insights for the business. Role overview The Senior Analytics Engineer works closely with colleagues from different departments to shape data-driven solutions. The job involves developing scalable data models, improving query performance, and ensuring that analytics efforts support key business goals. What you will do Collaborate with cross-functional teams to understand data needs Design and maintain scalable data models Optimize queries for efficiency and reliability Translate data into clear, actionable insights for decision-making Location This role is based in Berlin.

The Run & Grow Tribe of Tribes drives the systems, insights, and experiences that empower millions of merchants to thrive and grow with SumUp across all markets. We are at a pivotal moment in our data journey, transitioning from fragmented pipelines to a robust data foundation characterized by stable business domains, reliable metrics, and AI-ready data products. This is a unique opportunity to influence how data is managed, defined, and constructed at scale. As our Analytics Engineer, you will be the vital link that brings this vision to fruition.ResponsibilitiesCollaborate with teams across the tribe on event design and data contracts, ensuring staging pipelines are well-maintained, modeling conventions are applied, and domain outputs remain consistent, tested, and easily discoverable.Model critical business domains—such as merchant activity, product adoption, lifecycle events, and risk scoring—delivering well-documented, quality-assured data products that serve as the trusted source of truth organization-wide.Develop and sustain the insights layer atop governed domains, creating reusable KPI models, funnels, cohorts, and segmentations that Product, Commercial, and AI teams can access confidently on their own.Implement technical enhancements like incremental processing strategies, performance optimizations, and scalable data architectures to accommodate increasing data volumes.Contribute to SumUp's overarching data domain strategy, helping to establish strong ownership, consistent definitions, and a shared catalog of data products that facilitate self-service analytics and AI at scale.QualificationsDemonstrated expertise in analytics or data engineering, with a proven history of developing and maintaining production data systems.Advanced SQL capabilities for complex transformations and query optimization, with hands-on experience in building production-level data pipelines.

Distribusion connects travelers with ground transportation options worldwide. Our B2B platform brings together bus, rail, and ferry operators from more than 70 countries, making their services available through major online retailers such as Google Maps and Booking.com. Backed by TQ Ventures, Creandum, Northzone, and Lightrock, Distribusion recently secured $80 million in Series C funding. After a year of 10x growth, we are expanding our reach as one of the fastest-growing startups in travel technology. Role Overview We are hiring an Analytics Engineer to join our Data team in Berlin. This role focuses on solving complex data challenges and delivering solutions that quickly impact millions of users. The work spans the full analytics lifecycle, from building data pipelines to creating reports and dashboards that drive decisions for both internal and external stakeholders. What You Will Do Build new Looker dashboards from scratch, often within tight deadlines such as a single day. Develop deep knowledge of our data lake, including where data resides, its sources, and how it is processed. Recommend improvements to the Data Platform’s reporting to streamline and speed up report creation. Quickly understand project requirements, spot what matters, and identify missing information to keep work on track. Validate outputs thoroughly, maintaining high accuracy and attention to detail. Think ahead to anticipate challenges and consider the long-term effects of decisions. Work independently, using resources like Google and AI tools (such as Gemini and ChatGPT) to troubleshoot and test before seeking help. Location This position is based in Germany, with a preference for candidates who can work from our Berlin headquarters.

Scalablegmbh is looking for a Senior Analytics Engineer in München. This position centers on building data models and analytics tools that help colleagues and stakeholders make informed decisions. Role overview The Senior Analytics Engineer will design and implement data solutions that support business needs. This includes creating data models and analytics frameworks that provide clear, actionable insights. What you will do Develop and maintain data models to support analytics initiatives Implement analytics solutions that enable data-driven decision making Work closely with stakeholders to understand requirements and deliver relevant data products Requirements Strong analytical skills Experience designing and building data models Ability to implement analytics solutions for business stakeholders

Intercom is a pioneering AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands as the premier customer service AI solution available, enabling businesses to provide round-the-clock, flawless customer support while significantly enhancing overall customer satisfaction. When integrated with our Helpdesk, it forms a comprehensive solution known as the Intercom Customer Service Suite, which offers AI-driven assistance for more intricate or high-touch inquiries requiring human interaction.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the benchmarks for customer service. By adhering to our core values, we continuously challenge conventions, build with agility and urgency, and consistently deliver exceptional value to our clients.What is the opportunity?The AI Group at Intercom is tasked with defining innovative machine learning features, researching suitable algorithms and technologies, and quickly deploying prototypes for our customers.We are highly product-oriented. Our team, consisting of over 50 ML scientists, engineers, designers, and researchers, collaborates closely with various departments across the organization. We prioritize rapid production cycles, often transitioning to beta testing within weeks following successful offline evaluations.We continually conduct experiments and measure the effectiveness of our AI features, employing both frequentist and Bayesian methodologies, creating dashboards for result tracking, and delving deeply into user interactions to understand success metrics amidst the complexities of stochastic AI products.We are seeking a passionate Analytics Engineer to join our AI Group and contribute to our ongoing efforts.What will I be doing?Data Platform Development: Design, develop, and oversee scalable data pipelines and ETL processes to establish a robust, analytics-ready data infrastructure.Cross-functional Collaboration: Collaborate with AI analysts, ML scientists, engineers, and business teams to comprehend data requirements and ensure the delivery of accurate, reliable, and user-friendly data solutions.Data Strategy & Governance: Drive initiatives in data modeling, ownership of data quality, management of warehouses, and production support for key operational workflows.Advanced Analytics & Insights: Perform data analysis and develop custom models to inform strategic business decisions and measure performance.Automation & Optimization: Enhance the efficiency of data collection and reporting processes.

Join our dynamic team at Pergolux as a Senior Analytics Engineer, where you will play a pivotal role in shaping the analytics landscape of our Finance & Operations sector. In this position, you will leverage your extensive analytical skills to drive data-driven decisions, optimizing our processes and enhancing operational efficiency.Your expertise will be critical in collaborating with cross-functional teams to develop robust analytics solutions, ensuring the seamless integration of data insights into our business strategies. If you are passionate about data and analytics and are ready to take on challenges in a global environment, we invite you to apply!

Distribusion Technologies connects travelers with ground transportation options worldwide. Our B2B technology platform links bus, rail, and ferry operators in over 70 countries to major online retailers, including Google Maps and Booking.com. With recent Series C funding of $80 million and support from investors like TQ Ventures, Creandum, Northzone, and Lightrock, we continue to grow rapidly in the travel sector. Role Overview The Analytics Engineer will join the Data team in Berlin, playing a key part in shaping data-driven growth. This position focuses on building analytical reports, developing and improving data pipelines, and delivering insights that drive decisions for both internal and external stakeholders. The work impacts millions of users, often within days or hours of release. What You Will Do Build new Looker dashboards from scratch, often under tight deadlines. Develop a deep understanding of the data lake, including data sources, locations, and processing flows. Recommend and advocate for improvements in reporting to make reports clearer and faster to generate. Quickly grasp project goals and identify any missing information needed to move forward. Validate outputs thoroughly, maintaining high attention to detail and data accuracy. Consider long-term impacts of decisions to anticipate future data challenges. Work independently, using resources like Google and AI tools (such as Gemini or ChatGPT) to solve problems and experiment before seeking help. Work Environment This position is primarily based in Germany, with a preference for working onsite at our headquarters in Berlin.

Join the Entyre Group and make a difference in health tech!As part of the rapidly growing Entyre Group, Pflegewegweiser is leading the way in the Swiss healthcare market. With offices in Zurich, Berlin, and Boston, and a dedicated team of over 500 employees, we are revolutionizing outpatient care through technology, making it faster, more effective, and more accessible.We believe in empowering individuals to live dignified and self-determined lives at home, even when they require care. Family caregivers play a crucial role and deserve our utmost support, professional guidance, and sincere appreciation.About the RoleWe are seeking a Marketing Analytics Engineer to take charge of and enhance our marketing data infrastructure. This pivotal role sits at the crossroads of data engineering, analytics, and marketing, providing substantial impact and ownership.Your responsibilities will include designing and developing data pipelines that transfer data from our source systems to our data warehouse, transforming it into reliable, analysis-ready models, and ensuring it is easily accessible through dashboards and automated workflows that our marketing team utilizes daily.This is not your conventional data engineering position. You will leverage deep technical expertise along with a robust understanding of marketing to establish a self-service data layer. This will empower the team to measure outcomes, conduct experiments, forecast accurately, and optimize campaign performance.Additionally, you will explore innovative applications of AI to enhance analytics workflows, improve data accessibility, and create smarter, more proactive decision-making tools.Your Responsibilities:Own and enhance the complete marketing data stack: Fivetran or custom ELT pipelines → BigQuery → Dataform transformations → Sigma reporting.

Veeva Systems is a mission-driven pioneer in the industry cloud space, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies globally, we achieved over $2B in revenue last fiscal year, with significant growth potential on the horizon.At Veeva, our core values - Do the Right Thing, Customer Success, Employee Success, and Speed - guide our operations. We made history 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 organization, we provide the flexibility to work from home or in the office, allowing you to thrive in your preferred environment.Join us in transforming the life sciences industry, as we strive to make a positive impact on our customers, employees, and the communities we serve.The RoleVeeva OpenData Commercial enhances the industry by delivering reference data across the healthcare ecosystem, facilitating commercial sales execution, compliance, and business analytics.We consistently drive value for our customers through ongoing innovation, leveraging cloud-based solutions and cutting-edge technologies to achieve product excellence and ensure customer success.As an Analytics Engineer, you will be responsible for creating maintenance jobs to transform, clean, and validate data from diverse sources. This data will be processed on our data platform using Python.Your role will significantly impact customer success by ensuring the freshness, availability, and quality of data for our clients. Beyond data acquisition and modeling, you will engage in classic analytical tasks such as ad-hoc reporting and visual reporting.

About the Role Statista is looking for an Engineering Manager to guide the Data & Analytics Engineering team in Hamburg or Berlin. This role centers on leading projects, supporting team growth, and working closely with other groups to deliver strong data solutions for the company. What You Will Do Oversee and coordinate projects within the Data & Analytics Engineering team Mentor and support team members in their professional development Work with cross-functional teams to build and improve analytical tools and data-driven solutions Help strengthen Statista’s analytical capabilities to support informed decision-making Location This position is based in Hamburg or Berlin.

LITIT is a joint venture between NTT DATA and Reiz Tech, focused on delivering IT solutions in the DACH region. The company brings together German precision, Japanese work ethics, and Lithuanian talent to provide IT services and support. This remote Data Analytics Engineer position centers on building and improving the IoT Insurance Data Platform (IDP) using AWS. The role involves designing, implementing, and maintaining scalable data pipelines and shared platform services. The work supports analytics, data products, and machine learning applications for industrial IoT and insurance clients. Key responsibilities Architect, deploy, and manage cloud-native data pipelines on AWS. Develop and maintain scalable ETL workflows, data lakes, and data mesh components. Create and optimize PySpark jobs for processing large-scale and time-series data. Manage schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation. Collaborate with data platform, analytics, and product teams. Desired qualifications Extensive hands-on experience with AWS services, especially Lambda, Glue, and S3; familiarity with Athena, Lake Formation, Step Functions, and DynamoDB is a plus. Strong background in data engineering, including designing and executing ETL/ELT pipelines for large-scale or streaming data. Proficiency in Spark or PySpark for distributed data processing. Understanding of modern data formats such as Apache Iceberg and Parquet. Proven ability to deliver production-grade, enterprise-level data solutions. Experience with API integration, including AWS API Gateway and data exchange APIs. Familiarity with CI/CD pipelines and automated deployment processes. Experience working in cross-functional Scrum teams and an agile mindset. Willingness to travel domestically or internationally as project or client needs arise, sometimes on short notice. Compensation and development Salary range: €4700 - €5700 gross per month. Opportunities for learning and continuous professional growth.

Join EXARING AGAt EXARING AG, we are at the forefront of innovation, developing and operating the TV platform waipu.tv. As the market leader in independent IPTV in Germany, waipu.tv serves over six million users and boasts the highest customer satisfaction ratings in the industry. Our platform not only provides traditional television but also offers access to over 30,000 movies and series on demand, allowing users to enjoy their entertainment flexibly over Wi-Fi on any device, with features like recording, pause, and restart functionality, freeing them from fixed broadcast times.Are you eager to develop your skills and have fun doing what you love?Become part of our innovative team and help us shape the future growth of waipu.tv!Your RoleAs a Senior Analytics Engineer (f|m|d), you will be an integral part of our Data Team, bridging the gap between our Data Platform and data-driven business management. This role comprises approximately 40% Data Engineering and 60% Advanced Analytics.Data Engineering ResponsibilitiesLead the development, enhancement, and stability of our data pipelines (Airflow, BigQuery, DBT).Design and take ownership of key data models in the Data Warehouse, providing a foundation for reporting, self-service analytics, and advanced analytics.Ensure data quality through testing, monitoring, and robust transformation logic.Optimize performance and costs in the Data Warehouse.Integrate new data sources in close collaboration with Product, Marketing, and Tech teams.Data Analytics ResponsibilitiesTranslate complex business questions into structured, reproducible analyses.Conduct independent analyses of user behavior, churn drivers, and performance metrics.Provide clear actionable recommendations with direct impacts on product and business decisions.Design and implement data-driven workflows and oversee their execution.

Position: Full-timeLocation: Remote or in Berlin, GermanyStarting Date: Immediately or by arrangementLanguages: EnglishAre you ready to go beyond just presenting data and play a pivotal role in the transformation of analytics?If you have a passion for converting intricate data into actionable insights and driving teams with data-centric solutions, this position is tailored for you. Within a vibrant nail beauty sector, you will redefine our data environment, uphold exceptional data quality, and facilitate informed decision-making throughout the organization.About Us:At MANIKO, we are a pioneering and rapidly expanding company in the nail polish industry, delivering premium products to discerning customers across the globe. Renowned for our innovative self-adhesive nail polish technology, we empower our customers to achieve salon-quality results in the comfort of their homes.Our success is driven by a passionate team that refuses to accept mediocrity and is committed to continuous improvement. Our core values are more than just words; they are integral to our culture at MANIKO:Facts over Ego: We prioritize results and data, putting the team above individual pride.Challenge Accepted: Every challenge presents an opportunity for collective growth.Empowerment: Every contribution is valued. We foster a culture of responsibility and empowerment.Ownership: We take initiative and ensure tasks are completed effectively.

Join moia as a Tech Lead in our Data and Analytics Engineering team, where your leadership will drive innovative fleet analytics solutions. You will lead a talented team, architecting robust systems that harness data to enhance fleet performance and efficiency.Your role will involve collaborating with cross-functional teams to define and execute data strategies, ensuring that our analytics capabilities provide valuable insights. If you are passionate about leveraging technology to optimize fleet operations and are excited about shaping the future of mobility, we want to hear from you!

At Statista, we pride ourselves on being the premier global business data platform, dedicated to delivering accurate and accessible data that empowers individuals and organizations to make informed decisions.Since our inception in Hamburg in 2007, we have rapidly expanded into an international powerhouse with offices in key cities including London, New York, Berlin, and Tokyo. Our ongoing growth reflects our commitment to excellence and opens up numerous development and career opportunities for our team members.We celebrate diversity and welcome everyone for who they are, regardless of background or preferences. Your unique story is important—continue to shape it as part of our vibrant team.Are you ready to make an impact with us?About Statista HealthcareStatista Healthcare is a dedicated business unit within Statista, aimed at enhancing transparency and measurability of healthcare quality across various countries, settings, and specialties. We collaborate with prominent healthcare stakeholders globally to foster data-driven quality assessment and transformation through our analytical expertise and innovative technology.Our services include international rankings, benchmarking studies, and bespoke consulting projects. Our global healthcare rankings and hospital ratings, produced in partnership with our esteemed media collaborator Newsweek, are recognized for their visibility and credibility.We assist healthcare organizations in defining essential key performance indicators (KPIs), validating and harmonizing data structures, and translating insights into actionable strategies. Our approach is rooted in a data-driven understanding of healthcare quality, supported by rigorous methodologies and stakeholder trust.In our consulting projects, we empower healthcare providers and systems to develop customized KPI frameworks, standardize and validate data processes, and extract actionable insights that lead to measurable enhancements in patient care and overall system performance. Our combination of structured methodologies and practical implementation maximizes the potential of healthcare quality data.Your RoleAs an Analytics Engineer on our Healthcare Platform, you will transform diverse healthcare data into reliable, well-structured datasets and a comprehensive semantic layer for analysis and product development. Your responsibilities will include designing, implementing, and maintaining scalable data models and architectures, defining metrics and documentation, and ensuring the reliability, governance, and usability of data.

Jobgether’s partner company is seeking an Engineer, Index Business Intelligence (Data Programming & Analytics) based in Germany. This position sits at the intersection of data engineering, business intelligence, and market analytics. The main focus is to generate insights that guide strategic and commercial decisions. Key Responsibilities Transform large and complex datasets into structured, automated, and reusable reporting tools. Develop scalable data pipelines to enable consistent analytics and reporting. Break down complex or ambiguous business questions into clear data models and actionable insights. Work closely with colleagues across Sales, Product, Finance, Research, and Legal teams. Enhance reporting efficiency and encourage data-driven decision-making across the organization. Help ensure the consistency and quality of index-related intelligence used in global markets. Requirements Strong programming abilities, especially in building automated data solutions. Comfortable handling ambiguous business problems and translating them into reliable analytics. Experience collaborating in cross-functional teams. Hands-on experience developing and maintaining scalable data infrastructure.