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Join N26, a leading fintech company, as a Product Manager specializing in Data Governance and Analytics Engineering. In this role, you will be at the forefront of shaping data strategies that enhance our product offerings and drive business intelligence. You’ll collaborate with cross-functional teams to ensure data integrity, compliance, and analytics efficiency. Your expertise will be pivotal in guiding our data initiatives, optimizing processes, and delivering actionable insights that empower our stakeholders.
Join N26, a leading fintech company, as a Product Manager specializing in Data Governance and Analytics Engineering. In this role, you will be at the forefront of shaping data strategies that enhance our product offerings and drive business intelligence. You’ll collaborate with cross-functional teams to ensure data integrity, compliance, and analytics effici…
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.
Pipedrive is looking for a Director of Product Analytics based in Berlin, Germany. This leadership role centers on guiding a team that transforms data into actionable insights for the company. Key responsibilities Shape and evolve the analytics strategy to support product development goals Lead initiatives that help teams make informed, data-based decisions Collaborate with product teams to enhance offerings using analytics findings Team focus The Director of Product Analytics will work with cross-functional groups, ensuring that data insights are accessible and practical for business needs. The position requires a mix of strategic vision and hands-on leadership to drive continuous improvement.
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 operations. Team members collaborate with Data Scientists, Data Engineers, and backend engineers to deliver accurate and scalable data solutions that support SumUp’s regulatory and business needs. In this role, the Senior Analytics Engineer will help shape the technical direction of the team. The position involves building and maintaining data frameworks that support regulatory compliance, automating data pipelines, and ensuring the delivery of high-quality data products for decision-making within the Risk & Compliance Tribe. What you will do Design and maintain complex data models to track merchant activities and support timely, accurate regulatory reporting. Enhance and manage data pipelines for regulatory report submissions across European entities, focusing on compliance, reliability, and reducing manual work. Develop and implement data validation strategies required by regulators to ensure high-quality reporting. Apply dbt best practices, maintain the dbt project, and enforce coding guidelines and style validations. Work closely with Data Engineers, Data Scientists, Software Engineers, and backend engineers to integrate their work into robust data pipelines. Monitor and manage computing costs, identifying ways to improve cost-efficiency in the domain. Extract pipeline metrics and build dashboards for clear team-wide monitoring. Support a strong data infrastructure using tools such as Git, Argo Workflows, dbt, and Snowflake, enabling self-service analytics for Data Analysts and stakeholders.
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.
JetBrains is hiring a Senior Product Manager focused on AI Analytics. This position centers on guiding projects that use artificial intelligence to improve user experience and support product growth. Role overview The Senior Product Manager will work closely with teams from different disciplines to shape and deliver AI-driven features. The goal is to ensure JetBrains products continue to set high standards in the industry. Key responsibilities Lead projects that apply AI analytics to enhance product capabilities Collaborate with engineering, design, and other teams to define and execute strategy Drive initiatives that improve user experience and support business growth Location This role is open in multiple cities, including Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.
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.
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.
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.
Join our dynamic team at heyjobs as a Team Lead for Product Analytics! In this pivotal role, you will lead a talented group of analysts dedicated to driving data-informed decisions that enhance our product offerings.Your expertise will guide the development of analytical strategies and tools that provide deep insights into product performance and user behavior.
Join a dynamic global team of over 400 professionals at Aiven, where we are committed to advancing open-source technology and multi-cloud solutions. Our mission is to empower developers, builders, and creators to turn their ideas into reality with speed and simplicity through our accessible cloud data platform that offers open-source databases, search, streaming, and application infrastructure.The Role:We are seeking an experienced Senior Product Manager to spearhead the development of Aiven's managed Analytics offering, integrating Clickhouse, Kafka, and Postgres for a cohesive, cloud-native experience.Your responsibilities will include defining and executing the strategy, roadmap, and deployment processes to enable customers to efficiently scale and manage analytics workloads across top cloud providers in over 150 regions worldwide.What You'll Do:Lead the vision, strategy, and roadmap for Aiven’s Analytics suite.Gain a profound understanding of target customers and translate their needs into unique product capabilities.Collaborate closely with engineering teams to prioritize investments, ensuring a balance between new features, reliability, and user satisfaction.Conduct product discovery, validation, and iterative improvements utilizing contemporary discovery methods.Facilitate alignment across Product, Solution Architecture, Technical Account Management, Design, and Marketing teams.Support go-to-market (GTM) success through effective product positioning, packaging, and thought leadership.Identify growth opportunities, establish success metrics, and develop business cases for investments.Stay abreast of market trends in Analytics and act as a representative within the ClickHouse Developer community.
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!
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!
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.
You will spearhead the Product Management efforts for the Databricks Runtime team based in Berlin. This dynamic team operates at the crucial intersection of query processing, storage, infrastructure, and data governance, which are all essential components of the Databricks data intelligence platform. As the Product Manager, you will cultivate a profound understanding of contemporary cloud infrastructure, data governance solutions, and open-source components while gathering valuable insights from our customers. Your leadership will drive the launch of features that revolutionize how our clients process petabytes of data daily, simplifying their journey to derive value from their data.In this role, you will coordinate all product activities from conception to implementation. This includes engaging with customers to identify their needs, formulating a robust long-term product strategy, outlining product roadmaps, collaborating with engineering teams to create impactful products, and working closely with various internal stakeholders (pre- and post-launch) to ensure the success of our offerings.
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.
Transform the Travel ExperienceEmbark on a career journey with GetYourGuide, where our mission is to connect travelers with unforgettable experiences worldwide. Millions trust us for unique activities, and we are dedicated to making every journey remarkable, including yours.Are you ready to unlock your potential alongside a community of passionate explorers? Discover your next opportunity at our Berlin headquarters or in one of our global offices, from New York to Bangkok. Begin your adventure at getyourguide.careers.Team MissionThe Analytics department aims to empower the organization to act on data. We tackle a variety of challenges and datasets as integral members of cross-functional teams, owning the analytics funnel from exploration to impact measurement, and take pride in the insights we provide.In your role as a Senior Data Analyst within the Product Analytics team, you will influence measurement, strategy, and tactical decisions at GetYourGuide. You will address challenges such as optimizing inventory display for travelers, enhancing exploration and comparison capabilities, and assessing the quality of customer experiences during trips.Your MissionConduct quantitative analyses to understand customer challenges and inform product decisions.Collaborate with the Traveler group to evaluate the impact of features through experimental design and analysis.Identify opportunities and dependencies in collaboration with stakeholders.Work closely with Product and Engineering leads to develop a thorough understanding of the complete product experience.Design and implement data models, metrics, and dashboards to support the team’s product strategy and success.Assist technical teams in tracking and generating insightful data.Promote a culture of learning and experimentation within the company through hypothesis-driven product development and assessment.Explore significant questions to deepen our understanding of customers.Act as a thought partner to the Product Manager in strategic discussions.Your Toolkit5+ years of experience in data interpretation within analytics or data science roles.Experience working with agile product teams.
Transform the Travel ExperienceBecome a part of the GetYourGuide mission to redefine how people explore the world. With millions relying on us for trustworthy and unique travel activities, we are committed to ensuring that every journey is remarkable — including yours!Are you ready to elevate your career amongst a community of passionate adventurers? Explore your next opportunity at our Berlin headquarters or in one of our offices worldwide, from New York to Bangkok. Start your journey at getyourguide.careers.Team PurposeThe Growth Data Products (GDP) team powers GetYourGuide's growth by converting raw marketing data into actionable insights and automated decision-making systems. Our initiatives encompass diverse growth channels including Paid and Organic Search, Display Advertising, CRM, Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value analysis. We enable teams across the organization to make informed decisions swiftly and at scale, transforming data into intelligence that connects millions with unforgettable travel experiences.Your RoleLead the definition, development, and ownership of data products that drive significant revenue across all GDP sectors.Convert growth strategies into actionable technical roadmaps, ensuring alignment among multiple teams and stakeholders around clear business outcomes.Design, implement, and oversee production-level machine learning pipelines using Python and Databricks to enhance bidding, targeting, and personalization strategies.Elevate technical standards by establishing best practices, code quality benchmarks, and robust observability within the data science and engineering teams.Promote a culture of experimentation through A/B testing design, causal-inference analysis, and frameworks for rapid iteration.Enhance customer lifetime value and attribution models to inform multi-million euro marketing investments.Facilitate cross-functional collaboration to ensure that data products deliver measurable business value and strategic impact.Your SkillsetDemonstrated experience as a Staff or Principal Data Scientist (or equivalent) with a track record of delivering cross-functional products that yield substantial business results.Expertise in market growth and marketing analytics with a strong understanding of customer acquisition and revenue optimization.Proficiency in Python, SQL, and modern big data technologies.
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.
At SumUp, we create innovative financial solutions tailored for millions of small businesses globally. Our cutting-edge Commercial Data Products are the driving force behind how we evaluate performance, incentivize growth, and expand our sales organization. As a Senior Technical Product Manager for our Commercial Data Products, you will spearhead the strategy, discovery, and prioritization of key initiatives that constitute the core of SumUp’s commercial framework, covering everything from attribution models to commission structures. Your role will involve untangling a complex landscape, merging various models and data sources into a cohesive, reliable system that ensures precise measurement and equitable, scalable incentive frameworks. This position demands a robust technical and analytical skill set, enabling you to navigate intricate data ecosystems while collaborating with engineering and analytics teams efficiently. You will work hand-in-hand with Sales Channels, Pricing, Finance, and Incentives stakeholders, along with engineering and data teams, to develop dependable and high-quality data products within the Commercial Systems & Intelligence domain. This collaborative effort will establish a product-led “Sales DNA,” ensuring our commercial data is precise, accessible, and actionable, ultimately empowering teams across SumUp to make informed decisions and stimulate sustainable growth.
Join N26, a leading fintech company, as a Product Manager specializing in Data Governance and Analytics Engineering. In this role, you will be at the forefront of shaping data strategies that enhance our product offerings and drive business intelligence. You’ll collaborate with cross-functional teams to ensure data integrity, compliance, and analytics effici…
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.
Pipedrive is looking for a Director of Product Analytics based in Berlin, Germany. This leadership role centers on guiding a team that transforms data into actionable insights for the company. Key responsibilities Shape and evolve the analytics strategy to support product development goals Lead initiatives that help teams make informed, data-based decisions Collaborate with product teams to enhance offerings using analytics findings Team focus The Director of Product Analytics will work with cross-functional groups, ensuring that data insights are accessible and practical for business needs. The position requires a mix of strategic vision and hands-on leadership to drive continuous improvement.
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 operations. Team members collaborate with Data Scientists, Data Engineers, and backend engineers to deliver accurate and scalable data solutions that support SumUp’s regulatory and business needs. In this role, the Senior Analytics Engineer will help shape the technical direction of the team. The position involves building and maintaining data frameworks that support regulatory compliance, automating data pipelines, and ensuring the delivery of high-quality data products for decision-making within the Risk & Compliance Tribe. What you will do Design and maintain complex data models to track merchant activities and support timely, accurate regulatory reporting. Enhance and manage data pipelines for regulatory report submissions across European entities, focusing on compliance, reliability, and reducing manual work. Develop and implement data validation strategies required by regulators to ensure high-quality reporting. Apply dbt best practices, maintain the dbt project, and enforce coding guidelines and style validations. Work closely with Data Engineers, Data Scientists, Software Engineers, and backend engineers to integrate their work into robust data pipelines. Monitor and manage computing costs, identifying ways to improve cost-efficiency in the domain. Extract pipeline metrics and build dashboards for clear team-wide monitoring. Support a strong data infrastructure using tools such as Git, Argo Workflows, dbt, and Snowflake, enabling self-service analytics for Data Analysts and stakeholders.
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.
JetBrains is hiring a Senior Product Manager focused on AI Analytics. This position centers on guiding projects that use artificial intelligence to improve user experience and support product growth. Role overview The Senior Product Manager will work closely with teams from different disciplines to shape and deliver AI-driven features. The goal is to ensure JetBrains products continue to set high standards in the industry. Key responsibilities Lead projects that apply AI analytics to enhance product capabilities Collaborate with engineering, design, and other teams to define and execute strategy Drive initiatives that improve user experience and support business growth Location This role is open in multiple cities, including Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.
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.
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.
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.
Join our dynamic team at heyjobs as a Team Lead for Product Analytics! In this pivotal role, you will lead a talented group of analysts dedicated to driving data-informed decisions that enhance our product offerings.Your expertise will guide the development of analytical strategies and tools that provide deep insights into product performance and user behavior.
Join a dynamic global team of over 400 professionals at Aiven, where we are committed to advancing open-source technology and multi-cloud solutions. Our mission is to empower developers, builders, and creators to turn their ideas into reality with speed and simplicity through our accessible cloud data platform that offers open-source databases, search, streaming, and application infrastructure.The Role:We are seeking an experienced Senior Product Manager to spearhead the development of Aiven's managed Analytics offering, integrating Clickhouse, Kafka, and Postgres for a cohesive, cloud-native experience.Your responsibilities will include defining and executing the strategy, roadmap, and deployment processes to enable customers to efficiently scale and manage analytics workloads across top cloud providers in over 150 regions worldwide.What You'll Do:Lead the vision, strategy, and roadmap for Aiven’s Analytics suite.Gain a profound understanding of target customers and translate their needs into unique product capabilities.Collaborate closely with engineering teams to prioritize investments, ensuring a balance between new features, reliability, and user satisfaction.Conduct product discovery, validation, and iterative improvements utilizing contemporary discovery methods.Facilitate alignment across Product, Solution Architecture, Technical Account Management, Design, and Marketing teams.Support go-to-market (GTM) success through effective product positioning, packaging, and thought leadership.Identify growth opportunities, establish success metrics, and develop business cases for investments.Stay abreast of market trends in Analytics and act as a representative within the ClickHouse Developer community.
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!
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!
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.
You will spearhead the Product Management efforts for the Databricks Runtime team based in Berlin. This dynamic team operates at the crucial intersection of query processing, storage, infrastructure, and data governance, which are all essential components of the Databricks data intelligence platform. As the Product Manager, you will cultivate a profound understanding of contemporary cloud infrastructure, data governance solutions, and open-source components while gathering valuable insights from our customers. Your leadership will drive the launch of features that revolutionize how our clients process petabytes of data daily, simplifying their journey to derive value from their data.In this role, you will coordinate all product activities from conception to implementation. This includes engaging with customers to identify their needs, formulating a robust long-term product strategy, outlining product roadmaps, collaborating with engineering teams to create impactful products, and working closely with various internal stakeholders (pre- and post-launch) to ensure the success of our offerings.
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.
Transform the Travel ExperienceEmbark on a career journey with GetYourGuide, where our mission is to connect travelers with unforgettable experiences worldwide. Millions trust us for unique activities, and we are dedicated to making every journey remarkable, including yours.Are you ready to unlock your potential alongside a community of passionate explorers? Discover your next opportunity at our Berlin headquarters or in one of our global offices, from New York to Bangkok. Begin your adventure at getyourguide.careers.Team MissionThe Analytics department aims to empower the organization to act on data. We tackle a variety of challenges and datasets as integral members of cross-functional teams, owning the analytics funnel from exploration to impact measurement, and take pride in the insights we provide.In your role as a Senior Data Analyst within the Product Analytics team, you will influence measurement, strategy, and tactical decisions at GetYourGuide. You will address challenges such as optimizing inventory display for travelers, enhancing exploration and comparison capabilities, and assessing the quality of customer experiences during trips.Your MissionConduct quantitative analyses to understand customer challenges and inform product decisions.Collaborate with the Traveler group to evaluate the impact of features through experimental design and analysis.Identify opportunities and dependencies in collaboration with stakeholders.Work closely with Product and Engineering leads to develop a thorough understanding of the complete product experience.Design and implement data models, metrics, and dashboards to support the team’s product strategy and success.Assist technical teams in tracking and generating insightful data.Promote a culture of learning and experimentation within the company through hypothesis-driven product development and assessment.Explore significant questions to deepen our understanding of customers.Act as a thought partner to the Product Manager in strategic discussions.Your Toolkit5+ years of experience in data interpretation within analytics or data science roles.Experience working with agile product teams.
Transform the Travel ExperienceBecome a part of the GetYourGuide mission to redefine how people explore the world. With millions relying on us for trustworthy and unique travel activities, we are committed to ensuring that every journey is remarkable — including yours!Are you ready to elevate your career amongst a community of passionate adventurers? Explore your next opportunity at our Berlin headquarters or in one of our offices worldwide, from New York to Bangkok. Start your journey at getyourguide.careers.Team PurposeThe Growth Data Products (GDP) team powers GetYourGuide's growth by converting raw marketing data into actionable insights and automated decision-making systems. Our initiatives encompass diverse growth channels including Paid and Organic Search, Display Advertising, CRM, Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value analysis. We enable teams across the organization to make informed decisions swiftly and at scale, transforming data into intelligence that connects millions with unforgettable travel experiences.Your RoleLead the definition, development, and ownership of data products that drive significant revenue across all GDP sectors.Convert growth strategies into actionable technical roadmaps, ensuring alignment among multiple teams and stakeholders around clear business outcomes.Design, implement, and oversee production-level machine learning pipelines using Python and Databricks to enhance bidding, targeting, and personalization strategies.Elevate technical standards by establishing best practices, code quality benchmarks, and robust observability within the data science and engineering teams.Promote a culture of experimentation through A/B testing design, causal-inference analysis, and frameworks for rapid iteration.Enhance customer lifetime value and attribution models to inform multi-million euro marketing investments.Facilitate cross-functional collaboration to ensure that data products deliver measurable business value and strategic impact.Your SkillsetDemonstrated experience as a Staff or Principal Data Scientist (or equivalent) with a track record of delivering cross-functional products that yield substantial business results.Expertise in market growth and marketing analytics with a strong understanding of customer acquisition and revenue optimization.Proficiency in Python, SQL, and modern big data technologies.
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.
At SumUp, we create innovative financial solutions tailored for millions of small businesses globally. Our cutting-edge Commercial Data Products are the driving force behind how we evaluate performance, incentivize growth, and expand our sales organization. As a Senior Technical Product Manager for our Commercial Data Products, you will spearhead the strategy, discovery, and prioritization of key initiatives that constitute the core of SumUp’s commercial framework, covering everything from attribution models to commission structures. Your role will involve untangling a complex landscape, merging various models and data sources into a cohesive, reliable system that ensures precise measurement and equitable, scalable incentive frameworks. This position demands a robust technical and analytical skill set, enabling you to navigate intricate data ecosystems while collaborating with engineering and analytics teams efficiently. You will work hand-in-hand with Sales Channels, Pricing, Finance, and Incentives stakeholders, along with engineering and data teams, to develop dependable and high-quality data products within the Commercial Systems & Intelligence domain. This collaborative effort will establish a product-led “Sales DNA,” ensuring our commercial data is precise, accessible, and actionable, ultimately empowering teams across SumUp to make informed decisions and stimulate sustainable growth.
