Talent Acquisition Operations & Analytics Specialist

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 cr…

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.

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.

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 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.

To enhance our financial management and empower data-driven decision-making across our organization, we are expanding our Finance & Data teams. We are seeking a Senior Data Analyst (Finance) (m/f/d) to join us on a full-time basis.This role offers a hybrid working model, primarily based in our Berlin office located on Chausseestraße.Your Role within the TeamAs a Senior Data Analyst (Finance) (m/f/d), you will take charge of our financial data, reporting, and performance metrics. Collaborating closely with the Head of Finance and our Data Platform and Analytics teams, you will ensure high-quality financial insights are readily available to support our planning, budgeting, and strategic decision-making processes.Your key responsibilities will include:Managing financial data, reporting, and performance metrics in collaboration with the Head of Finance to identify needs and set priorities.Defining, developing, and continuously refining financial data warehouse models with support from the Data Platform and Analytics teams.Assisting the Finance team with both ad-hoc and recurring analyses, reports, and data extracts.Actively participating in the Planning & Budgeting process alongside the Finance team.Monitoring, analyzing, and communicating key financial and operational KPIs to the management team, emphasizing trends, risks, and potential outliers.Continuously enhancing financial reports, processes, and data structures to ensure scalability, accuracy, and reliability as we grow.

Role overview GetYourGuide connects travelers with memorable experiences worldwide. As a Senior Engineer in Operational Excellence, this position supports teams in delivering reliable, efficient, and trustworthy services for millions of users. Based in Berlin, the role focuses on minimizing disruptions, strengthening user trust, and supporting a culture of operational excellence as GetYourGuide expands into AI-driven travel experiences. What you will do Collaborate closely with product teams to improve system reliability, speed, and confidence. Reduce incident frequency, Mean Time to Detect (MTTD), and Mean Time to Recovery (MTTR). Lead post-incident reviews and use findings to drive systemic improvements. Develop tools and runbooks that help teams quickly diagnose and resolve production issues. Promote a blameless culture around incident management and continuous improvement. Participate in the infrastructure on-call rotation. Advance observability using Datadog, including metrics, logs, traces, dashboards, and alerts. Help teams define meaningful Service Level Objectives (SLOs) and set up actionable alerts to avoid alert fatigue. Support engineers with production debugging tools and processes for independent troubleshooting. Improve change management practices to ensure high-quality software releases. Team mission The Operational Excellence team works to prevent incidents before they occur and helps teams resolve them quickly when they do. This group champions reliability, observability, and cost efficiency, building the tools and practices that make operational excellence a shared goal across all product teams. The team’s work ensures GetYourGuide’s engineering organization can move quickly and confidently, delivering consistent, high-quality experiences to travelers. Location This position is based in Berlin, with the option to join colleagues in other global offices. Learn more about working at GetYourGuide at getyourguide.careers.

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!

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.

At Enpal, we envision a future where every roof is equipped with a solar system, every home features a storage unit, and every garage is home to an electric vehicle. Our mission is to make this vision a reality through a comprehensive solution for decentralized energy. This includes everything from solar systems and battery storage to wall boxes, smart meters, and heat pumps. Central to our operations is our AI-driven platform, Enpal.One+, which seamlessly connects thousands of systems to optimize electricity procurement and market feed-in efficiently.Are you ready to create impactful solutions that enhance the quality of life for thousands of households daily? The innovations you bring to Enpal will not only provide clean energy for tomorrow but will also revolutionize our energy consumption.

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.

About the Opportunity The Senior Manager of Audit Operations will play a pivotal role in overseeing the operational policies and support processes of Internal Audit at N26. This position is key in ensuring the efficient operation and continual enhancement of reporting, data analytics, audit tools, and the overall audit function's organizational framework. The primary goal is to fortify the auditing function with a robust data foundation, dependable reporting, and a stable system landscape, while promoting transparency about audit activities and findings. In This Role, You Will: Audit Governance & Methodology: Assist in maintaining and evolving the operational framework of the Internal Audit function, including methodologies, operational standards, and governance processes. Audit Quality Assurance: Lead the Internal Audit Quality Assurance and Improvement Program. Audit Reporting: Prepare and consolidate quarterly and annual Internal Audit reports for senior management and governance bodies, incorporating analysis of audit coverage, findings, and remediation status. Audit Data Analytics: Design and execute data analyses to support audit activities, including trend analysis of findings and risk indicators. Audit Systems Administration: Manage and enhance the Internal Audit systems landscape, overseeing tools like Audimax and the Jira Audit project. Issue & Findings Monitoring: Supervise the tracking of audit findings and remediation measures, ensuring transparency and timely escalation of any delays. Audit Process Support: Assist auditors with operational aspects of the audit lifecycle, including reporting structures and data preparation. Stakeholder Coordination: Serve as the primary point of contact between Internal Audit, IT, and other control functions to streamline audit tools and reporting requirements. Continuous Improvement of Audit Operations: Identify and implement opportunities for enhancing efficiency, automation, and data-driven decision-making within Internal Audit operations.

As a Senior Manager in International Finance at Delivery Hero, you will lead a dynamic team responsible for managing financial strategies across our global operations. Your expertise will drive financial planning, analysis, and reporting, ensuring our financial practices align with our ambitious growth objectives.Join us in redefining the way the world thinks about food delivery!

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.

Enpal is working toward a future where every roof supports solar panels, every home uses storage systems, and every garage charges electric vehicles. The company delivers an integrated solution for decentralized energy, covering solar panels, battery storage, wall boxes, smart meters, and heat pumps. At the heart of this effort is the AI-powered platform Enpal.One, which connects thousands of systems and optimizes energy management and market participation. Role Overview The Operations Specialist - Automation & Analytics helps ensure that automated processes run smoothly and that households receive reliable, clean energy. This role focuses on process improvement, data analysis, and collaboration across teams to support Enpal’s mission in Berlin. What You Will Do Handle operational exceptions that automated systems cannot resolve, making sure outcomes reach the right destination. Investigate individual cases by analyzing data, processes, and systems to find the root causes of errors, exceptions, or repeated manual work. Use tools like SQL, Python, Power BI, or similar to spot trends, visualize issues, and support decision-making with clear data. Work closely with colleagues in Operations, Tech, and Product to identify bottlenecks and develop better ways to manage recurring exceptions. Help make operational processes more efficient, scalable, and intelligent, while maintaining quality and meeting regulatory standards. What We Look For Interest in hands-on operational work, with a desire to improve processes rather than simply follow them. Up to 3 years of experience in an operational or process-driven setting. Degree in a technical, analytical, or business field such as Industrial Engineering, Data Analytics, Business Administration with a technology focus, or Computer Science. Strong analytical skills, a methodical approach to problem-solving, and comfort working with data.

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.