21 Data Analysis Tools jobs in Ireland
Clinical Data Management Lead
Posted 7 days ago
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Job Description
+ Serve as primary point of contact for customer on data management deliverables
+ Manage multiple large studies or program of studies (possibly global)
+ Provide leadership and senior support to DTLs on multiple large global programs of global studies
+ Provide project management expertise working with customer data managers, key decision makers, and internal team members to manage continuous process improvements, issue escalation, workload projections, and provide technical expertise
+ Lead direct negotiations with customer, e.g., timelines, financial, process, resources
+ Meet with Data Operations team members on a regular basis to ensure milestones meet timelines and quality deliverables
+ Independently manage DM service delivery with comprehensive DM process and technical expertise in executing projects
+ Serve as the escalation point for unresolved data issues
+ Ensure appropriate resources are assigned to meet project deliverables
+ Create and/or review and sign-off on all data management plan (DMP) documents
+ Manage service performance and provide leadership to identify root causes of issues and implement remedial actions
+ Serve as Subject Matter Expert (SME)
+ Provide leadership and expertise in a specific CDM task or technology
+ Independently manage SOW/budget
+ Independently bring process improvements and solutions to the CDM team/CDM department
+ Lead a focus team or global or local best practice team
+ Provide review and expert opinion in developing, revising, and maintaining core operating procedures and work instructions
**REQUIRED KNOWLEDGE, SKILLS AND ABILITIES**
+ Previous experience and proven competence in managing delivery of multiple global trials through full DM life-cycle (i.e. large trials of at least 1000 patients)
+ Demonstrated expert data management skills and advanced knowledge of the data management process (e.g., therapeutic area, extensive knowledge in DM processes, SAE reconciliation, external data vendor reconciliation)
+ Previous experience and proven competence in handling complex customer negotiations and bid defense meetings independently
+ Knowledge of Medical Terminology, Pharmacology, Anatomy, and/or Physiology
+ Knowledge of operating procedures and work instructions and the ability to apply them in practice
+ Knowledge of Good Clinical Practices and relevant regulatory guidelines
+ Excellent communication, interpersonal, customer service, and teamwork skills
+ Excellent organizational and problem-solving skills
+ Excellent project management skills
+ Ability to work independently
+ Comprehensive understanding of clinical drug development process
+ Ability to establish and maintain effective working relationships with co-workers, managers and customers
**MINIMUM REQUIRED EDUCATION AND EXPERIENCE**
+ Bachelor's Degree, or educational equivalent, in health, clinical, biological or mathematical sciences, or related field
+ Around 7 years direct Data Management experience, including 5 or more years as a CDM project lead; or equivalent combination of education, training and experience
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
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Sr Associate Master Data Management
Posted 4 days ago
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Officer CFS Client Data Management
Posted 4 days ago
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Data Management & Control Specialist, Dublin
Posted 4 days ago
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Data Science Intern
Posted 2 days ago
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Job Description
With over a century of innovation and a presence in more than 175 countries, we're helping customers tackle their toughest power management challenges with technologies that are smarter, safer, more efficient, and more sustainable.
But what truly sets us apart is our people. As a **Certified Great Place to Work** , Eaton Ireland is recognised for building a culture where trust, inclusion, and purpose thrive. Here, every voice matters, and every idea has the power to shape a better future - for our communities and our planet.
**What you'll do:**
The Centre for Intelligent Power (CIP) is seeking interns to work within its multidisciplinary teams. If you are excited and inspired by the thought of contributing to a more sustainable global future, as well as bringing digitalization solutions and mindset to Eaton's vast portfolio of products and services across multiple industries that our company operates.
In your role as a Data Science Intern, you will learn about the development and deployment of data science and analytics tools across Eaton's product portfolio - from grid-scale insights to home energy management systems.
You will gain experience in building and releasing statistical, artificial intelligence (AI) and machine learning (ML) pipelines in a modern data science stack and will contribute to the ongoing development of Eaton's Brightlayer Analytics platform. This platform provides a set of reusable analytics components which are used throughout the Eaton business to create products for Eaton's customers. You will be involved in the design, development, and testing of edge and cloud-based systems.
You will also gain hands-on experience with the tools and approaches used as part of the design, development, and test processes.
**What you can expect to learn: **
At the end, we expect you to have gained a clear understanding of the end-to-end research, design, and development process for deploying intelligent solutions in Eaton products. You will have directly contributed to this design, experimental development, and test process for at least one proof of concept system. In addition, you will have the opportunity to present your work to the team and senior technical leadership within the company.
**Qualifications:**
Ongoing university studies (BSc/MSc) in Computer Science, Computer Engineering or similar
**Skills:**
+ A basic technical background is required in addition to an interest and background in machine learning and statistical modelling.
+ Familiarity with Python and/or R, and commonly used modelling/visualisation libraries (pandas, numpy, dplyr, ggplot2).
+ Knowledge of foundational data science algorithms.
+ Familiarity with embedded systems and embedded system programming.
+ Knowledge of deep learning libraries such as TensorFlow, Keras, pytorch.
+ Interest in reproducible research and software engineering best practices (coding best practices, version control).
**Soft Skills:**
+ Analytical thinking
+ Problem-solving
+ Communication skills
+ Team collaboration
+ Time management
+ Ownership
We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.
UKI Technology Consulting - SAP Data Management Lead, Manager / Senior Manager
Posted 4 days ago
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Job Description
Location: Dublin 2
Other locations: Primary Location Only
Date: Aug 1, 2025
Requisition ID:
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
General information
- Location: Dublin
- Available for Work Visa Sponsorship: Yes
- Business area: Technology Consulting (SAP)
- Contract type: Permanent
Our SAP practice is experiencing an exciting period of growth. We are interested in hearing from experienced SAP professionals who would like to take their careers to the next level.
EY's global SAP practice now totals more than 26,000+ dedicated SAP professionals in over 150 countries and we are investing heavily in S/4HANA, Ariba, IBP, SuccessFactors, Concur, GTS, SCP, Analytics, and other new SAP solutions. We are helping our clients to tackle their most difficult challenges by implementing SAP solutions that enable business transformation and deliver real value for our clients. We operate local and remote teams across multiple locations, we design and build global solutions with variations to meet local requirements, and we deploy these in ways that maximize value for our clients.
You will become key member of our SAP team. Your role will be focused primarily on the delivery of SAP services to one or more of our multiple large clients implementing SAP S/4HANA. Your secondary focus will be on support and broader practice development. In this role, you will help develop high-performing individuals and teams, leading and supporting them to deliver exceptional client services.
Your key responsibilities
- Work with the SAP functional and business teams to scope and analyse the data migration requirements, including analysis of source system data structures and flows
- Within the Data Workstream, serve as the go-to subject matter expert for master and transaction data areas including SAP Materials Management, Inventory Management, Warehouse Management (including EWM), Business Partners and other data objects
- Design Migration strategy and implement the data migration framework as per data migration architecture using SAP Data Services (Enterprise edition) and SAP Migration Cockpit
- Design and Document the Extract, Transform and Load (ETL) routines maximizing the use of technology to achieve a high degree of automation in a performant way
- Build, test, execute and manage the data migration routines and data cleansing and enrichment models
- Design and Execute preload and post load data validation of migration results, handle error logs and advise on data cleansing requirements
- Support the functional teams with the data reconciliation and reporting process
- Perform migration mock cycles and rehearsals, plan and execute migration cutover tasks and lead post go-live support and defect handling
- Create technical specification documents by utilising SAP functional knowledge, data migration experience and computer programming knowledge
- Provide advisory services to the business to understand their data management issues and advise on appropriate data management strategies
- Provide guidance to other systems analysts and client personnel assigned to the projects
- Strong technical skills ranging from in depth knowledge of SAP modules, understanding of data governance frameworks, proficiency in data modelling and ETL processes
- Project management skills including planning, execution, and monitoring of data management projects
- Excellent verbal and written communication skills to convey complex data concepts to non-technical stakeholders
- Ability to identify areas of risk, carry out an effective review and know when to refer upwards
- Experience in leading and mentoring teams, fostering a collaborative environment
- Ability to build strong client relationships and professional networks
- Outgoing with good relationship skills and the ability to deliver quality output
- A third level qualification in Computer Science, Mathematics or a related discipline, or relevant experience related to the position
- 7+ years' experience in SAP Data Management projects, with extensive hands-on experience in SAP data cleansing and migration tools in an internal or external client facing environment
- A minimum of 2 years' experience in a consulting role
- Strong experience in SAP Data Services, Information steward, HANA SQL, IDOCS, BAPI, LSMW and SAP Migration cockpit
- Experience with, or demonstrable understanding of, S/4HANA best practice processes, key benefits, and implementation scenarios
- Experience in developing migration strategies, data dictionaries, mapping specifications and data transformation guidelines
- Expertise in migration of SAP Business Partners including CVI (Customer to Vendor Integration)
- Experience in SAP MDG, SAP QM and SAP GTS
- Experience in Power BI
- Proven ability to build and leverage relationships with senior-level clients
We are looking for candidates who are:
- Innovative andagile , with a purpose-driven mindset
- Inclusive and able to work effectively in diverse teams
- Passionate about technology and eager to learn and grow
- Client-focused , with a strong commitment to delivering exceptional service
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
- Support and coaching from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that's right for you
- Pension
- Discounted Health Insurance
- Web Doctor - Free unlimited online GP consultations for you and your family
- The purchase of additional annual leave
- Free Gym Membership
- Travel Pass
- Maternity & Paternity leave
- Bike to work Scheme
- Recognition Awards
- Cash incentives for referrals
- TECH MBA paid by EY
- Wellness rooms Available in some offices
- When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
- Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
- As you grow and develop here, you'll discover opportunities to help customise your career journey, so that it's as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
- We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.
As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
Inclusion & Diversity
We hold a collective commitment to foster an environment where all differences are valued and respected, practices areequitableand everyone experiences a sense of belonging: Inclusion, diversity, and equity are part of who we are at EY. We believe that the highest-performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients.
We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You'll be embraced for who you are and empowered to use your voice to help others find theirs.
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Data Science Manager, Marketing
Posted today
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Job Description
+ Master's degree or equivalent in a quantitative discipline such as Math, Economics, Statistics, Engineering, Sciences, or equivalent practical experience.
+ 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
**Preferred qualifications:**
+ 4 years of experience as a people manager within a technical leadership role.
+ Experience working with marketing and media data.
+ Experience delivering multiple concurrent marketing mix models and Geo-Experiments end-to-end.
+ Experience with Cloud products like GCP (Vertex AI) and SageMaker.
+ Understanding of Bayesian approaches and modeling frameworks.
+ Ability to generate practical solutions for marketing analytics problems and use results to drive business change in partnership with cross-functional stakeholders.
Find the user. Find the magic. Connect the two. At its core, marketing at Google starts with the user and ends with technology, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems - from the everyday to the epic, from the mundane to the monumental. And, we approach marketing in a way that only Google can - break the rules, redefine the medium, make the user the hero, and ultimately let the technology speak for itself.
As a Data Science Manager in the Marketing team, you will lead projects, translating business problems into analytical solutions and you will guide your team to implement data science solutions, improve data, develop metrics, and build models for business insights. You also foster knowledge sharing and develop your team's talent.
You will also be a Marketing Mix Modeling (MMM) specialist, who will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. Using first-party and third-party data sources, you will create innovative solutions to demonstrate the effectiveness of Google's media investment. At Google-scale, this implies working on our industry's toughest challenges.
**Responsibilities:**
+ Provide support in media strategy, measurement, and optimization that requires expertise in advanced analytics work, with special focus on MMMs.
+ Partner with internal teams in advanced analytics work including data pipelines, experimentation, measurement, and modeling.
+ Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
+ Deliver customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for best business results.
+ Develop evaluation frameworks for ML and LLM models, large-scale models, new metrics, and investigate anomalies. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
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Data Science / Engineering Manager
Posted 7 days ago
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Job Description
Apptio, an IBM Company, is seeking a Data Science & Engineering Manager to lead a talented, cross-functional team of data scientists and software engineers focused on integrating advanced AI and machine learning capabilities into Apptio's flagship FinOps and Technology Business Management (TBM) products.
In this role, you'll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You'll act as a bridge between data science, software engineering, and product management-driving execution while fostering a collaborative, high-performance culture.
**Your role and responsibilities**
* Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
* Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
* Collaborate with product and design teams to shape intelligent, customer-focused solutions
* Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
* Promote best practices in machine learning engineering, MLOps, and cloud-native software development
* Foster a culture of innovation, ownership, and continuous improvement
* Communicate strategy, progress, and impact to stakeholders across the organization
**Required technical and professional expertise**
* Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
* Proven experience delivering AI/ML-powered features in a production environment
* Strong technical foundation in machine learning, data architecture, and software engineering
* Proficiency in programming languages such as Python, Java, or Go, and hands-on experience with cloud platforms (AWS, Azure, or GCP)
* Experience managing cross-functional teams and collaborating across engineering, data, and product functions
* Excellent communication and organizational skills
**Preferred technical and professional experience**
* Experience with FinOps, IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
* Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
* Exposure to generative AI or large language models (LLMs) in enterprise applications
* Track record of building high-performing teams and scaling data science efforts in a SaaS environment
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Senior Manager Global Data Lifecycle Management

Posted 5 days ago
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Job Description
The Global Data Lifecycle Management Lead will be responsible for defining, implementing, and overseeing global Data Lifecycle Management (DLM) strategies within The Coca-Cola Company's (TCCC) Data Governance team. This position is critical for managing personal data (both consumer and associate) across its lifecycle-spanning acquisition, retention, usage, and deletion-while ensuring compliance with global regulatory guidelines
**What You'll Do For Us:**
+ Develop and maintain scalable, standardized Data Lifecycle Management (DLM) processes that reduce complexity and align with global regulatory requirements (e.g., GDPR, CCPA, HIPAA).
+ Translate legal and compliance requirements into actionable processes and workflows, ensuring a balance between operational efficiency and legal adherence.
+ Promote data minimization strategies and address inefficiencies or risks tied to data retention, classification, or disposal.
+ Own and manage the OneTrust Data Mapping Automation module, creating and maintaining centralized data flow inventories and mapping structured and unstructured data across TCCC's global Own and manage the OneTrust Data Mapping
+ Automation module, creating and maintaining
+ Develop and optimize data integration workflows, ensuring seamless integration between OneTrust and enterprise systems such as Microsoft Purview, AWS, Azure, GCP, and ERP/CRM platforms like SAP or Salesforce.
+ Prioritize systems and datasets for data purge automation and data classification monitoring to eliminate redundancies and improve compliance across markets and functions.
+ Monitor regulatory changes globally, ensuring TCCC's internal processes, integrations, and tools adjust to support evolving compliance standards
**Requirements & Qualifications:**
+ Minimum of 5+ years of experience in privacy management, data governance, or lifecycle management, with a proven history of implementing enterprise-scale solutions in regulated environments.
+ Hands-on experience in ensuring data retention, classification, and deletion workflows are adhered to.
+ Expertise in data integration techniques, with the ability to seamlessly connect privacy platforms to enterprise systems such as CRM/ERP solutions, cloud infrastructures (AWS, Azure, GCP), and proprietary business technologies.
+ Demonstrated success in deploying automation solutions to streamline data lifecycle operations across structured and unstructured datasets.
+ Expertise in OneTrust Data Mapping Automation, including designing data flow diagrams, integrating data catalogs for centralized management, and optimizing compliance reporting processes.
+ Strong understanding of data storage platforms, hybrid cloud systems, and their privacy configurations (AWS, Azure, GCP).
+ Advanced problem-solving skills, particularly for challenges involving data minimization, residency, and regulatory changes in global markets.
**What We Can Do For You:**
At The Coca-Cola Company, data governance plays a pivotal role in our continued global success. As the Global Data Lifecycle Management Lead, you have the opportunity to drive a world-class lifecycle governance strategy while partnering with industry-leading teams and tools. This role is central to creating scalable, future-focused processes that support compliance, reduce complexity, and maximize the value of our data assets. If you are passionate about privacy, innovation, and governance leadership, we encourage you to join us and make a lasting impact on one of the world's most iconic brands.
**Skills:**
Influencing; Risk Mitigation; System Integration; Data Flows; Data Lifecycle Management; Data Analysis; OneTrust Privacy Management; Data Mapping; Workflow Documentation; Technical Problem-Solving; Data Governance; Scanning Technology; Cloud Infrastructure; Privacy Compliance; Workflow Process; Data Storage Platforms
Annual Incentive Reference Value Percentage:15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.