Senior Analytics Manager, Supply

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Join our dynamic team at Motel One as a Manager IT focusing on Data Warehouse & Analytics. In this pivotal role, you will lead IT initiatives that drive business intelligence and data management strategies. Collaborate with cross-functional teams to enhance our data analytics capabilities and improve operational efficiencies. Your expertise will be crucial in shaping our data infrastructure and ensuring it aligns with our business goals.

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 our dynamic team at NavVis GmbH as a Senior Data Analytics & Business Intelligence Manager. We are seeking an innovative leader who excels in transforming data into actionable insights that drive business growth. In this pivotal role, you will lead a talented analytics team, oversee BI initiatives, and collaborate with cross-functional teams to optimize our data strategy.

Role Overview AbbVie is seeking an Analytical Lead for protein analytics within the Early Analytical Development R&D team in Ludwigshafen. This position focuses on advancing analytical methods and upholding quality standards in protein-based research projects.

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.

Location: Mannheim, Germany Remote Status: Fully Remote (#LI-Remote) LivePerson Inc. (NASDAQ: LPSN) stands at the forefront of trusted enterprise conversational AI and digital transformation. Our award-winning Conversational Cloud platform is leveraged by the world's premier brands to engage millions of consumers seamlessly. Each month, we facilitate nearly a billion conversational interactions, delivering uniquely rich data analytics and robust safety tools that harness the potential of conversational AI for enhanced business outcomes. Fast Company has recognized LivePerson as the #1 Most Innovative AI Company globally. Position Overview As a Senior Technical Product Manager, you will become an integral member of the LivePerson Analytics Product team, spearheading the Analytics suite which includes Data Services, Analytics Studio, Report Center, and Data Transporter. Your primary responsibility will be to shape the strategy and execution of tools and services that utilize conversational data to yield actionable insights for both customers and internal stakeholders. In your role, you will oversee the development and implementation of our Analytics capabilities, concentrating on leveraging conversational data to drive impactful customer and internal insights. Collaboration will be key as you work closely with cross-functional teams including Engineering, Data Science, Sales, and Customer Success to define product strategy, prioritize features, and deliver innovative solutions that guarantee scalability, reliability, and exceptional experiences for brands. Your Key Responsibilities & Impact Craft and communicate a distinct product vision and strategy for our end-to-end Analytics platform, ensuring it empowers both customers and internal teams to extract actionable insights from Conversational Data. Define, assess, and prioritize features for the Analytic Studio/Builder and Report Center, emphasizing an intuitive user experience for data exploration, visualization, and report scheduling. Oversee the product roadmap for Data Services and Data Transporter, ensuring the timely, accurate, and scalable ingestion and preparation of petabyte-scale conversational data streams. Collaborate with Data Science and Engineering teams to integrate Conversational Intelligence (AI/ML-derived insights) features seamlessly into the core analytics products. Establish and monitor key performance indicators (KPIs) and data quality metrics for all data pipelines and analytic tools, ensuring high data reliability, freshness, and tool utilization. Act as the main liaison between Analytics users (both internal and external) and the Data Engineering teams, translating complex data requirements into actionable tasks.

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.

About UsAt bluebird, we are pioneers in Digital Transformation and Performance Management. We innovate, optimize systematically, and uncover solutions where others see challenges.As an IT consultancy focused on software implementation, we collaboratively reshape our clients' Corporate Performance Management (CPM) with leading platforms such as OneStream and CCH Tagetik.What drives us are individual strengths, creative freedom, and a genuine team spirit. Here, it’s not just about your skills but your passion for making an impact.Our extensive experience gives us confidence. Our unique approach makes us stand out: we believe in transformative ideas and the people who bring them to life.Your RoleFollowing your onboarding, you will technically support our EPM/CPM teams in implementing IT projects within the Finance sector. Your diverse responsibilities will include:Providing technical assistance in planning, managing, and monitoring IT digitalization projects focused on data integration, data management, and business intelligence.Professionally and methodically executing IT projects for our clients.Designing, implementing, and optimizing interfaces for data integration and management solutions.Managing our development environments and IT infrastructure.Supporting the development of workshop concepts and documenting outcomes.Creating concepts, presentations, and training materials.

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.

Role Overview AbbVie is seeking an Analytical Lead for Protein Analytics in Early Development R&D at the Ludwigshafen site. This role shapes analytical strategies for protein characterization and supports early-stage development projects. Collaboration with cross-functional teams is central to advancing scientific goals and delivering reliable results. Key Responsibilities Develop and implement analytical approaches for protein characterization. Lead and coordinate projects within the Early Analytical Development R&D team. Work closely with colleagues across disciplines to achieve project milestones. Contribute scientific expertise to guide decision-making in early development. Who We’re Looking For Experience in protein analytics or related scientific fields. Strong collaboration skills and the ability to work with diverse teams. Commitment to high-quality, reliable scientific work. Comfort working in a setting where priorities can shift quickly. Work Arrangements This position offers flexibility, with options for both full-time and part-time employment.

Join BayWa AG as a Data Analytics Project Manager (m/f/d) and lead transformative projects that harness the power of data analytics. In this dynamic role, you will oversee the planning, execution, and delivery of data-driven initiatives, collaborating with cross-functional teams to ensure project success and alignment with business objectives.As a key player in our organization, you will manage timelines, budgets, and resources, while leveraging your expertise to drive continuous improvement and innovation. Your analytical mindset and project management skills will be crucial in navigating complex challenges and delivering actionable insights.

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.

THIS IS THE JOBLocation: Remote or Hybrid work within GermanyTeam: Performance MarketingStart date: As soon as possibleAt everdrop, we're a rapidly expanding D2C brand dedicated to transforming the household and personal care industry. We're seeking a results-oriented and data-savvy Paid Social & Analytics Manager (m/f/d) to oversee our META ad accounts and drive our international expansion.In the role of Paid Social & Analytics Manager (m/f/d), your key responsibilities will include:META Account Management: Oversee the setup, structuring, targeting, and optimization of our META ad accounts across various countries.Growth Campaign Planning & Execution: Design and implement campaigns that foster growth and target customer acquisition in DACH, France, Italy, and beyond.Data Analysis & Testing: Perform funnel analyses, A/B tests, and creative evaluations using tools such as Tableau, META Business Manager, and spreadsheets.Strategic Development: Develop bundles and collaborate on testing strategies and platform configurations for product launches, ensuring alignment with our overall business objectives.Performance Reporting & Optimization: Coordinate performance metrics across markets, lead the paid social OKRs, prepare performance reports, and offer data-driven recommendations to management.

Role overview WPP Media seeks a Lead Data Analytics Expert to join the team in Dusseldorf, Frankfurt, or Munich. The position centers on advanced data analysis and strategic insight to drive business growth and enhance client services. What you will do Collaborate with cross-functional teams to identify trends within data sets. Present findings as clear, actionable recommendations for clients and colleagues. Contribute to decisions that strengthen company operations and client value. Location options Dusseldorf, Germany Frankfurt, Germany Munich, Germany

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.

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.

As an Analytics & Insights Client Business Partner at NielsenIQ, you will play a pivotal role in driving strategic decision-making for our clients. Your expertise in data analytics will empower businesses to transform insights into actionable strategies. You will collaborate closely with cross-functional teams to deliver tailored solutions that meet client needs and exceed expectations.

Join Our Dynamic Team:Become a vital part of the Digital Analytics team at SumUp, where you'll collaborate closely with product, marketing, and analytics stakeholders across the organization. Our team is dedicated to fostering data-driven decision-making, with a strong emphasis on tracking, experimentation, and enhancing our analytics framework.As SumUp continues to grow, cultivating a robust experimentation culture is becoming increasingly important. We are committed to enhancing our tracking infrastructure and empowering teams to conduct reliable A/B tests. Your role will involve working alongside diverse teams—from Online Marketing to Product—to help them leverage high-quality data and insights for informed decision-making.Your responsibilities will encompass both hands-on analytics tasks and providing strategic enhancements to our tracking and experimentation processes.

Transform the Way the World Travels Embark on the GetYourGuide adventure, where we connect people with unforgettable travel experiences across the globe. Millions trust us for unique activities, all driven by our dedication to making every journey extraordinary—including yours. Are you ready to unleash your potential within a community of fellow explorers? Discover your next opportunity at our Berlin headquarters or at one of our global offices, from New York to Bangkok. Visit getyourguide.careers to embark on your journey. Team Mission The mission of our Analytics department is to empower the Marketing organization to make informed decisions based on data. We tackle a diverse array of challenges and datasets as integral members of cross-functional mission teams. We take ownership of the entire analytics funnel—from exploration and recommendations to impact measurement—and take great pride in the insights we generate. This particular role is situated within our Marketing Analytics team, which aims to optimize our marketing investments towards attracting the most loyal and incremental customers. This is a strategic position focused on resolving cross-channel challenges to accelerate our growth, such as determining effective strategies for enhancing our display and mid-funnel spending while analyzing the behaviors of our repeat audiences. Your Mission Conduct quantitative analyses and develop statistical models to inform marketing strategies. Formulate and advocate for strategic recommendations to our senior marketing leaders. Design and evaluate marketing experiments to inform strategic decision-making. Analyze extensive datasets, derive insights, identify opportunities and issues, and communicate findings to stakeholders. Enhance and manage our marketing measurement tools, including Attribution and Customer Lifetime Value frameworks. Act as a bridge between marketing teams and data engineering teams. Mentor team members on essential skills for this role. Your Toolkit 8+ years of relevant experience in analytics, data science, or business intelligence. Proficient in SQL and Python for data analysis (e.g., pandas, scikit-learn, pyspark). Strong understanding of user behavior and the ability to translate data into actionable insights for business stakeholders. Experience in digital and performance marketing analytics.