Senior Data Analyst at Veeva | Lisbon, Portugal

Veeva Systems is a pioneering organization with a mission to revolutionize the life sciences industry by accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we have achieved over $2 billion in revenue in the last fiscal year, with substantial growth opportunities ahead.At Veeva, our core values guide u…

Join us at ComplyAdvantage, a premier SaaS provider transforming how fintech companies navigate intricate regulatory environments. Our innovative platform enables compliance and risk management for a diverse range of financial services firms, from burgeoning startups to established enterprises. We are committed to empowering our teams to tackle significant challenges and deliver exceptional value to our customers.Role OverviewAs a Senior Data Scientist, you will spearhead the creation and enhancement of advanced data-driven solutions aimed at detecting and preventing financial crime on a global scale. Your primary focus will be on Research & Development and Strategic Initiatives, dedicating 80% of your time to pioneering research in Machine Learning (ML), Natural Language Processing (NLP), and Agentic AI to generate measurable business impact within 3-6 month timeframes. Alongside conducting in-depth R&D, you will offer expert advisory support and technical leadership to our Product and Engineering teams. By guiding AI Enablement initiatives, you will equip these departments with the quantitative insights and frameworks required to scale impactful AI-driven features while mentoring junior team members.Key ResponsibilitiesLead R&D in GenAI and Agentic AI: Design and prototype innovative solutions for financial crime detection, emphasizing multi-agent systems and RAG architectures based on foundational LLM frameworks.Drive Production Excellence: Collaborate with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will set the standards for reliability, scalability, and ethical AI performance, ensuring that research prototypes evolve into robust, production-grade solutions.Establish Evaluation Frameworks: Lead the formulation of comprehensive evaluation methodologies for LLM and Agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.Evaluate Model Context Protocol (MCP): Investigate applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.Strategic Data Insights: Conduct advanced exploratory analysis across various data sources to uncover insights that directly inform product development decisions and agent behavior.Research & Innovation: Continuously explore and assess emerging tools and best practices in data science and Agentic AI to maintain ComplyAdvantage's leadership in the field.

Join the Kaizen Gaming FamilyAt Kaizen Gaming, the driving force behind Betano, we stand as one of the largest GameTech companies globally, operating across 19 dynamic markets. Our mission is to harness innovative technology to deliver unparalleled experiences to millions of customers who rely on us for their entertainment.We proudly represent a diverse workforce of over 2,700 Kaizeners from more than 40 nationalities across three continents.As a member of our #oneteam, you’ll be part of a workplace recognized as one of the Best Workplaces in Europe and certified as a Great Place to Work across all our offices. Here, every day brings new opportunities and challenges. Are you ready to Press Play on your potential?About the RoleAs the Data Science Team Lead within our AI product team, you will spearhead the development and delivery of impactful AI solutions. Your role will be central to our AI initiatives, involving data analysis, the creation of machine learning models, and close collaboration with our tech team to develop successful AI products that drive business success.The ideal candidate will possess a robust understanding of machine learning algorithms, a strong track record of deploying ML/AI applications in live environments, and previous experience in managing and guiding AI teams.Key Responsibilities:Lead a team of 5 to 7 talented data scientists and machine learning engineers.Translate product specifications into machine learning challenges and identify key areas where AI can maximize business impact.Conduct data analysis to uncover significant patterns and generate actionable insights.Perform exploratory data analysis (EDA) and feature engineering to enhance the modeling process.Establish best practices in model selection, parameter tuning, and optimization.Execute comparative experiments for model training.Evaluate different solutions by analyzing ML metrics.Oversee the complete lifecycle of AI features—from data collection through model design to implementation and optimization in production.Mentor junior team members and guide the team through complex projects.

About WPP MediaWPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalization at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.For more information, visit wppmedia.com.Sobre nós:A WPP é a empresa de transformação criativa. Acreditamos no poder da criatividade para construir um mundo melhor para as pessoas, para o planeta, para os nossos clientes e para as comunidades.A WPP Media é o coletivo global de media da WPP, um centro de excelência que reúne o melhor talento, as plataformas mais inovadoras e parcerias estratégicas. Num mundo onde os media estão presentes em todos os aspetos das nossas vidas, criamos oportunidades de crescimento ilimitadas para os nossos clientes.Descobre mais em wpp.com e wppmedia.com.Sobre a função:Como PowerBI & Data Associate, farás parte da nossa equipa de Business Transformation e terás oportunidade de aprender e desenvolver competências em Business Intelligence. É fundamental que sejas orientado para os pormenores e que gostes muito de trabalhar com números.Responsabilidades:Ajudar na recolha, classificação e manutenção de dados para análise e utilização interna para melhoria e desenvolvimento do negócio;Apoiar na elaboração, desenvolvimento e atualização de relatórios e dashboards;Efetuar verificações básicas de dados para garantir a exatidão, coerência e a qualidade dos dados recolhidos e analisados;Trabalhar em estreita colaboração com a equipa de operações comerciais para compreender as necessidades do negócio e das equipas e contribuir para os projetos.

About the Role Natixis in Portugal is hiring a Senior Financial Data Processing Specialist in Lisbon. This position focuses on processing and analyzing financial data to support strategic decision-making across the organization. What You Will Do Process large volumes of financial data with accuracy and attention to detail Analyze data to extract insights that inform business strategy Collaborate with teams to ensure data quality and consistency Location This role is based in Lisbon.

Join inetum2 as a Big Data Engineer and be part of a forward-thinking company that is at the forefront of technological innovation. In this role, you will work with large datasets, developing cutting-edge solutions that drive data-driven decision-making and enhance business operations.

Join Our Team as a Field Data Collection Specialist / Surveyor!At Terry Soot Management Group (TSMG), we excel in collecting vital field data where automation falls short. Founded in 2017, we operate throughout Europe and North America, providing critical support for data-driven decision-making. Our dedicated teams capture images, videos, audio, and detailed scans to ensure comprehensive data collection for various applications.Project Overview:We are embarking on a project aimed at enhancing online mapping applications through the collection of visual and geospatial data. We are seeking enthusiastic individuals to join our team of pedestrians/surveyors across select European countries.Key Responsibilities:As a Field Data Collection Specialist, you will be equipped with a specialized backpack housing a camera. Your primary task will involve traversing designated areas, capturing high-quality footage of your surroundings to facilitate our data collection efforts.Work Schedule:Monday to Friday, with shifts ranging from 6 to 8 hours per day.

Winthrop Technologies is a premier data center delivery partner, specializing in comprehensive turnkey solutions for our clients. With our headquarters in Dublin, we proudly deliver services across Europe, currently executing multiple data center projects in seven countries, amounting to over 430 MW of IT load.We are excited to invite applications for the role of MEP Lead to join our Iberian team. The ideal candidate will oversee the management and coordination of all mechanical, electrical, and plumbing activities throughout the project lifecycle, from design through to completion.

About UsAt Riskified, we empower businesses to unlock their ecommerce potential by mitigating risks. Our platform is trusted by some of the world’s leading brands and publicly traded companies to safeguard against chargebacks, combat fraud, and enhance customer loyalty. Our AI-driven fraud and risk intelligence solutions analyze interactions in real-time, offering robust identity insights that help our partners succeed in the competitive online landscape. We proudly collaborate with renowned companies across various industries, including Acer, Gucci, Lorna Jane, GoPro, and many more.We cultivate a collaborative and dynamic work environment, where innovative ideas flourish and meaningful contributions are valued. Our commitment to teamwork and excellence drives us to make a lasting impact in the ecommerce space, making Riskified a workplace of choice.About the Role*** Please note that this position will be recruited, hired, and employed by a third party.We are in search of a skilled and passionate Senior Data Platform Engineer to enhance and maintain our core data platform products, ensuring optimal performance, scalability, and stability. As a data-driven organization, we are committed to managing an increasing influx of data daily.In this role, you will be a vital part of the Data Platform team, responsible for overseeing a large-scale production data platform that serves as the backbone of our products. You will develop self-service tools to enhance platform accessibility for users in our R&D and Analytics departments, and act as a knowledge hub, consulting and sharing your expertise with your colleagues.What You’ll Be DoingLead the development of AI-ready foundations for our data platform, focusing on data quality, contracts, observability, and self-service tools that empower machine learning and AI-driven initiatives.Manage, provision, and monitor various platform products.Enhance the application infrastructure tightly integrated with our Data Platform tools.Provide guidance to development teams and mentor fellow team members.Utilize your creativity to solve complex, high-scale data challenges.Research and evaluate new technologies, starting from POC to deployment.

Join our dynamic team at inetum2 as a Data & Business Intelligence Analyst. In this pivotal role, you will leverage your analytical skills to transform data into actionable insights that drive business decisions. You will collaborate closely with cross-functional teams to develop and implement data strategies that enhance operational efficiency and support our strategic goals.

About the Role We are looking for an accomplished Senior Data/Business Analyst to significantly enhance our Marketing Analytics and Reporting capabilities. This position offers a balanced combination of hands-on reporting and analysis (50%) alongside dashboard development and reporting automation (50%), emphasizing accountability, precision, and scalability. As an individual contributor, you will take ownership of reporting outputs, influence measurement standards, and assist in transitioning the organization from fragmented and manual analytics to more consistent, automated, and reliable insights. The ideal candidate thrives in an evolving analytics landscape and is eager to refine data capture, analysis, and utilization processes. Responsibilities: Design, develop, and continuously improve Tableau dashboards to evaluate campaign performance, channel effectiveness, and funnel outcomes. Lead the creation of recurring performance reports and executive-ready scorecards, integrating automated dashboards with in-depth analysis. Act as a subject matter expert in marketing performance reporting, proactively spotting trends, issues, and opportunities for optimization. Facilitate the shift from manual reporting to scalable, standardized, and self-service dashboards. Analyze and synthesize data from various Martech and CRM platforms, including GA4, Salesforce, HubSpot, Cvent, LinkedIn, YouTube, X, Brightcove, and others. Ensure data accuracy across systems, actively identifying discrepancies, tracking gaps, and resolving data quality issues. Collaborate with CRM and marketing operations teams to shape the structure of data pipelines, schemas, and reporting views. Support and uphold UTM standards and campaign tracking governance to guarantee consistent attribution and measurement. Assist in maintaining structured campaign hierarchies (e.g., parent/child campaigns) to support reliable reporting. Contribute to the definition and documentation of metrics, KPIs, and reporting standards used across marketing and sales. Partner with marketing, sales, and various stakeholders to transform business objectives into effective reporting and insights. Communicate insights, assumptions, and limitations clearly to both technical and non-technical audiences. Required Qualifications: 2-6 years of experience in data analysis, business analytics, or marketing analytics. Proficient with Tableau and other data visualization tools. Strong analytical skills with a focus on data-driven decision-making. Excellent communication and presentation abilities. Experience in marketing analytics tools and platforms.

Join the dynamic Business Intelligence team at SIXT, where we design and maintain the cutting-edge SIXT Data Platform and its Data Catalogue, catering to thousands of users around the globe. Our flagship offering, the SIXT Data Shop, processes tens of millions of events daily, transforming them to address various consumer needs and delivering insights through a robust toolbox—from self-service batch processes to real-time ML model endpoints.Our current priorities include enhancing operational automation, broadening self-service data ingestion capabilities, optimizing ETL workflows, and enabling innovative applications for our clients. Our dedicated team of 20 Data Engineers and Business Intelligence Engineers embraces collaboration and is constantly on the lookout for the latest technological advancements. At SIXT, we celebrate success, agility, ownership, and cross-cultural collaboration. Join us and become a valued member of the SIXT family.YOUR ROLE AT SIXTBuild CRM Data Foundations: Create analytical infrastructure for our CRM initiatives and automate data pipelines to establish a premier customer intelligence environment.Drive Innovation: Investigate and apply the latest AWS and big data technologies to unveil hidden opportunities, enable new functionalities, and forge integrations for the SIXT Data Shop.Collaborate Cross-Functionally: Work alongside Data Engineers, BI Analysts, and Data Scientists to design optimal solutions for various analytical applications, including dashboarding, ad hoc analytics, data-as-a-product, and machine learning.Shape Platform Strategy: Contribute your expertise and innovative ideas to the vision and roadmap of the Data Platform.Ensure Data Integrity: Uphold exceptional work ethics and integrity while managing sensitive customer data, adhering to the highest standards of data protection.

Veeva Systems is a pioneering force in the industry cloud space, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue last fiscal year, with ample growth opportunities on the horizon.Our core values drive us: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we distinguished ourselves by becoming a public benefit corporation (PBC), legally committed to balancing customer, employee, societal, and investor interests.As a Work Anywhere organization, we offer flexibility in your work environment, whether at home or in the office, to help you thrive.Join us in transforming the life sciences industry and positively impacting our customers, employees, and communities.The RoleOur vision for Veeva Link is to lead globally in providing deep data for life sciences, aiding pharma professionals in connecting with the right individuals for clinical trials, educational initiatives, or advisory boards. This streamlined access minimizes the time-to-market for essential drugs, facilitates trials with top experts, and disseminates information about new treatments within the life sciences community. Learn more about Veeva Link at https://www.veeva.com/products/veeva-link/. We are looking for a seasoned People Manager to spearhead one of our Data Operations teams. This crucial role ensures the efficient and high-quality delivery of data operations that underpin our product development. As a member of the Data Operations leadership team, you will oversee a team of 5 Veevans along with hundreds of curators.You will lead a highly engaged and high-performing team, fostering a culture of performance and accountability.

Veeva Systems is a pioneering organization dedicated to transforming the life sciences industry by leveraging cloud technology to expedite the delivery of therapies to patients. As one of the fastest-growing SaaS companies ever, we recently achieved over $2 billion in revenue and continue to expand rapidly.Our core values - Do the Right Thing, Customer Success, Employee Success, and Speed - guide our operations. In 2021, we made history 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 flexibility in your work environment, whether from home or in our office, enabling you to perform at your best.Join us in revolutionizing the life sciences sector, with a strong commitment to making a positive impact on our customers, employees, and communities.The RoleThe Link and OpenData vision aims to establish a global leadership position in deep and reference data for life sciences. Our products rely on meticulously curated data obtained through rule-based web research. We ensure high-quality data through streamlined processes. In your capacity as a Process Expert in Data Operations, you will enhance processes across our operational teams. This role includes simplifying and strengthening processes, optimizing tools, improving team interfaces, and implementing your enhancements organization-wide. You will collaborate closely with the Director of Data Operations. This position provides a unique opportunity to gain a comprehensive understanding of our data operations and familiarize yourself with the various Link and OpenData products while engaging with diverse projects and stakeholders. To excel in this role, you should possess strong conceptual thinking skills and a hands-on approach to problem-solving. You are a proactive...

We are seeking a talented and motivated Python Developer (Data Engineer) to join our dynamic team at inetum2 in beautiful Lisbon. In this role, you will leverage your expertise in Python programming and data engineering to develop and maintain robust data pipelines, ensuring seamless data integration and processing.Your primary responsibilities will include building scalable data architectures, collaborating with cross-functional teams to understand data requirements, and optimizing existing data workflows for performance and efficiency.If you are passionate about data-driven solutions and thrive in a fast-paced environment, we want to hear from you!

Role overview Natixis in Portugal seeks a Python Data Engineer to join the BPCE SI team in Lisbon. This position focuses on managing and improving data pipelines that support business decisions. Fluency in French is essential for daily work and collaboration. What you will do Build, maintain, and optimize data pipelines using Python Support data processing needs for analytics and reporting Work closely with colleagues to strengthen data-driven decision-making What we are looking for Fluent French language skills Strong programming experience with Python This role is based in Lisbon.

WHO WE AREAt Trustly, we are at the forefront of creating a smarter, faster, and more secure financial future by transforming the payments landscape. As a pioneering leader in Open Banking Payments, we are setting a new benchmark with Pay by Bank, delivering unmatched freedom, speed, and convenience to millions of consumers and merchants globally.Our Vision: To establish the world's most groundbreaking payment network and redefine the payment experience.Trustly is a globally diverse team of innovators, collaborators, and achievers. If you possess a strong sense of purpose and excel in a dynamic, entrepreneurial, and high-growth environment, join us and contribute to reshaping the future of payments.ABOUT THE RISK PRECISION TEAMThe Risk Precision team is Trustly's analytical and control-focused unit dedicated to Financial Crime Prevention. This team leverages operational insights, data, and risk appetite to ensure the efficacy, measurability, and continuous improvement of our fraud, AML, and other risk controls.The team is responsible for performance KPIs, detection logic, thresholds, and decision frameworks, collaborating closely with Machine Learning, Product, and Operations. The emphasis is on precision—reducing risk exposure and customer friction while enhancing detection accuracy. Risk Precision guarantees that our risk management strategies are data-driven, transparent, and aligned with regulatory standards and business objectives.ABOUT THE ROLEAs a Senior AML Data Analyst at Trustly, you will take charge of the data, metrics, and analytical foundations that support our AML framework. Your position intersects regulatory compliance, risk tolerance, and analytical execution. You will ensure that AML data is accurate, defensible, and tailored for both internal decision-making and external regulatory reporting.This role transcends mere reporting; you will uphold the integrity of AML metrics, validate and monitor detection models, and translate regulatory mandates into quantifiable, data-driven controls. By collaborating with AML Operations, Machine Learning, Compliance, and Data teams, you will help ensure that Trustly's AML framework remains transparent, comprehensible, and scalable.

About the Role iCapital Network is seeking a skilled Data Privacy Attorney to enhance our Legal team with a specialization in data privacy issues. The successful candidate will collaborate across various departments, manage external contractual engagements, and oversee the work of outside counsel. This position will require close cooperation with our General Counsel and fellow attorneys in our Legal and Compliance teams. Responsibilities Develop, implement, and manage comprehensive privacy policies and practices for our global operations, prioritizing a “GDPR-first” strategy tailored to meet local jurisdiction requirements. Lead assessments for new markets concerning personal data issues: identify specific data privacy mandates for new areas of operation and advise teams on permissible actions regarding personal data. Draft and evaluate complex, data-centric client agreements, including terms of service, privacy policies, and commercial contracts. Address client inquiries related to data protection practices, information withdrawal, the right to be forgotten, and associated rights. Oversee client data rights tracking for emerging products and services, such as portfolio analytics, market insights, and indices. Prepare and review various contracts, non-disclosure agreements, and other legal documents. Stay informed of industry trends, developments, and best practices related to data issues, including expanding personal data rights and AI/ML regulations. Conduct ad hoc research projects as needed. Qualifications 4+ years of relevant experience in a prestigious law firm and/or in-house within a data rights management or data protection capacity. Licensed to practice law in good standing in Portugal. Exceptional interpersonal and leadership abilities. Eager to learn and adapt in a dynamic business environment. Demonstrated high level of integrity. We believe that the most innovative ideas emerge when we collaborate. This role requires employees to work in the office three days a week, with the option to work remotely for two days.

Join us at Turner Townsend as a Project Director specializing in Data Centres. In this pivotal role, you will lead complex projects, ensuring they are delivered on time and within budget while meeting our clients’ high standards. Your expertise will be crucial in managing stakeholder relationships and overseeing project teams to drive successful outcomes.

About Riskified Riskified helps businesses grow their ecommerce operations by reducing risk. Our platform supports major global brands and public companies, protecting them from chargebacks and fraud while building customer loyalty. Clients include Acer, Gucci, Lorna Jane, GoPro, and many others. Our team brings together ecommerce risk analysts, data scientists, and researchers who use an AI-driven platform to evaluate transactions in real time, drawing on advanced identity verification to deliver actionable decisions. We value collaboration and innovation. People at Riskified work together to create products that make a real difference, and every team member has the chance to contribute to our broader mission. Role Overview Note: This position will be recruited, hired, and employed by a third-party agency. The Data Science department plays a central role at Riskified, building algorithms and scalable analytical solutions. The team applies advanced techniques such as classification models, natural language processing (NLP), anomaly detection, graph theory, and deep learning to extract value from data. As the Data Science Team Lead in Lisbon, you will guide a team of data scientists and remain hands-on with complex technical projects. The role covers recruiting, mentoring, and supporting team members, while ensuring the delivery of effective machine learning solutions for fraud detection and risk assessment. What You Will Do Technical Leadership Set technical direction for complex data science projects that use large-scale tabular data. Lead key projects and contribute production-quality code. Define and maintain best practices for model development, evaluation, and deployment. Conduct code reviews to ensure quality, maintainability, and adherence to standards. Help team members navigate challenging technical problems. Team Leadership and Management Recruit, onboard, mentor, and manage data scientists. Foster a collaborative environment that encourages experimentation and knowledge sharing.