Staff Data Analyst - Marketing 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 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.

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!

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.

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 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.

Revolutionize the Travel Experience Be a part of GetYourGuide's mission to connect travelers with extraordinary experiences around the globe. Millions trust us for unique activities that enhance their journeys, and we are dedicated to making every travel adventure remarkable—including yours. Are you ready to unlock your full potential alongside a community of passionate explorers? Discover your next opportunity at our Berlin headquarters or in one of our local offices worldwide, from New York to Bangkok. Start your journey by visiting getyourguide.careers. Team Mission The Supply Analytics team plays a pivotal role in determining how GetYourGuide measures and expands the supply aspect of our marketplace. We address strategic inquiries that influence our business direction, such as identifying marketplace gaps, enhancing supplier success, and pinpointing product innovations that provide maximum value to our partners. Our team establishes the analytics infrastructure, key performance indicators, and frameworks that inform decision-making across Product, Sales, and Operations. We translate intricate supply dynamics into actionable insights that guide resource allocation, product roadmaps, and business objectives—empowering over 50,000 suppliers to thrive on our platform. Your Responsibilities Data-Driven Strategy Development: Cultivate a data-centric culture within our supply teams and guide strategy by addressing critical questions—determining which markets to enter, which suppliers to prioritize, and what product enhancements will most benefit our partners. Measurement Systems Creation: Develop metrics, frameworks, and foundational elements that enhance our understanding of the supplier lifecycle and experience. Team Leadership and Development: Lead and nurture a high-performing team that achieves technical excellence and collaborates as strategic partners. Executive-Level Influence: Convert complex analyses into clear, strategic recommendations that impact resource allocation, product roadmaps, and business priorities across the Supply organization. Cross-Functional Collaboration: Work closely with senior leaders to align analytics initiatives with business outcomes, balancing competing priorities while driving proactive, strategic insights. Hands-On Analytical Engagement: Maintain a curious mindset and engage directly in analytical tasks to generate insights that inform action and recommendations.

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!

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 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.

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.

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 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.

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.

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!

Enpal is working toward a future where every home in Berlin and beyond can generate and manage its own solar energy. The team delivers a full suite of decentralized energy solutions, including solar panels, battery storage, wall boxes, smart meters, and heat pumps. At the heart of this mission is Enpal.One, an AI-powered platform that connects thousands of energy systems, helping optimize electricity usage and feed-in for the energy market. Learn more about Enpal.One. As a Senior Analytics Engineer (f/m/x), you will help shape how data drives clean energy adoption and smarter consumption for thousands of households. This role focuses on building reliable data solutions that support both business and technical teams at Enpal. Key responsibilities Develop structured, well-documented datasets using dbt, with clear metric definitions, ownership, and testing processes. Translate complex business processes into standardized definitions and a semantic layer for use in Tableau and Power BI. Identify and resolve inconsistencies in source data, ensuring a single source of truth across the organization. Improve query performance, data freshness, and quality in Snowflake through testing and continuous monitoring. Work closely with BI and business teams to deliver certified datasets, dashboards, and promote self-service analytics. Manage the full reporting lifecycle, from understanding business needs to delivering actionable data products. Maintain and enhance central data pipelines, dbt models, and Tableau integrations using modern tools like Python, cloud platforms (AWS, Azure, or GCP), and Git. Mentor colleagues on analytics engineering best practices and support their technical growth. Qualifications At least 3 years of experience as an Analytics Engineer, BI Developer, or Data Engineer. Proven skill in turning large, complex datasets into actionable insights and BI-ready metrics. Advanced SQL knowledge and experience with data modeling, including star schemas, dimensions, facts, and semantic layer design. Hands-on experience building production dbt projects, with a focus on testing, documentation, and version control. Strong Python abilities for analytics tasks such as data validation, automation, and scripting.

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.

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.

Business Analytics InternIntern / Student, Full-time · Berlin (HQ)Our Mission for YouAre you passionate about data analysis and eager to apply your skills in a dynamic, hands-on environment? We are looking for a Business Analytics Intern who has a strong interest in extracting insights from complex data sets while collaborating with our team to develop and enhance Python tools for energy simulations, such as intelligent battery management.This internship offers you valuable practical experience in a fast-paced environment, with the possibility of transitioning into a working student role afterward. If you are ready to make an impact and advance your expertise in analytics and energy technology, we look forward to your application!Your ProjectsProfitability Analysis & Energy Data Modeling: Conduct detailed economic assessments for industrial clients with specific energy needs, including energy data modeling and processing.Data Visualization & Communication: Create impactful data visualizations for case studies, our website, and sales activities to present insights clearly to clients and stakeholders.In-depth Data Analysis for Battery Management: Analyze energy and pricing data to identify relationships that can enhance real-time optimization and offer creation.Your ResponsibilitiesIndependent execution of projects with high responsibility, particularly in data analysis.Conduct economic assessments for industrial clients using our advanced simulation tools.Analyze simulation results and assist the team in crafting tailored offers for potential clients.Process and analyze large time-series energy data for clients to prepare simulations and economic assessments.Research scientific publications and new regulations related to energy and sustainability aimed at implementation in projects.Collaborate with interdisciplinary teams on diverse projects to support our clients in achieving their sustainability goals.