17 Data Analytics jobs in Ireland
Data Analytics Technician
Posted 3 days ago
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Data Analytics & Shopper Marketing Manager
Posted 2 days ago
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**Business Area: Nestlé UK & Ireland**
**Nestlé Purina**
**Data Analytics & Shopper Marketing Manager**
**Location: Dublin** **(Hybrid working - approx. 2 flexible days a week at our fantastic office)**
**Attractive Salary + potential bonus + excellent company-wide benefits**
_Championing diversity and inclusion is so important to us; when we embrace different perspectives and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business._
_At Nestlé, we are proud to support and provide equality of opportunity that supports employees to effectively blend their work life and commitments through hybrid and flexible working arrangements, so speak to us to understand what this could look like for you._
**Position Summary**
At Nestlé Purina, we're on a mission to enrich the lives of pets, the people who love them, and the planet we share. Join us, and you'll discover a world where your skills, knowledge, and passion can flourish. As part of our supportive and dynamic environment, you'll be encouraged to challenge norms, experiment with new ideas, and drive meaningful change. At Purina, you're not just part of a team; you're part of a movement to create a better world for pets and people alike.
We have a fantastic opportunity for a **Data Analytics & Shopper Marketing Manager** to join our team based in Dublin to support the Market Development (MDO) Manager across all customers with all aspects of data analytics and insight generation to drive total category growth for the retailer and Nestlé Purina. This role will also support the MDO Lead with key category management initiatives including delivery of range reviews, range optimisation and merchandising recommendations. You will also deliver winning shopper marketing plans with our retailers to drive sales and point of purchase opportunities.
**A day in the life of a Data Analytics & Shopper Marketing Manager.**
In this role, you will deliver the cyclical insight by monitoring category performance and executing category tasks supporting MDO Lead. Additionally, you will develop and execute the shopper activation and brand plans with the Purina Brand Manager.
Key responsibilities include:
+ Deliver continuous insight through category performance monitoring: Complete regular performance updates both internally and externally, extracting insights from these sources and using them to continually bring opportunities for growth for both the customer and Purina
+ Alongside category and brand teams, ensure all NPD successfully launched into customers
+ Manage the day-to-day relationships with research agencies from coding to data delivery and reporting - developing data from Insight to Action
+ Present insight, actions, and opportunities both internally and externally to influence Purina Market performance through Field sales, customer contacts and Business Managers
+ Deliver winning shopper marketing plans to drive product ROS working with external shopper agencies to include the creation and delivery of Annual Shopper Marketing plan across all categories and channels to include our shopper presence online
+ Effectively manage PFME (marketing budget) to maximise return on investment
+ Execute Successful Tradeshows and Category Sells with retailers to drive Nestlé sales at key occasions
+ Manages an outsourced service provider for POS storage and distribution
**What will make you successful**
We are looking for a passionate self-starter with a curious and creative mindset to succeed in an exciting, fast paced channel. You will be comfortable working in an agile environment managing multiple projects at once. Relationship building is key to success in this role so you should be able to demonstrate an excellent relationship building ability internally, externally and within multifunctional teams.
You will also have:
+ Previous experience in either category management, shopper marketing, insights management or consumer marketing
+ Strong analytical skills, with the ability to turn data into insights
+ Proven ability to create category insight driven sales stories and identify opportunities and threats from market data
+ Ability to manipulate data from Nielsen, Kantar and Dunnhumby
+ Demonstrable record of success in a customer facing role
+ Proven success in management of budgets
**What you need to know**
We will be considering candidates as they apply and we will occasionally close job advertisements early in the event we receive sufficient applicants, so please don't delay in submitting your application
Job advert posting date 07/08/2025
Job advert closing date 21/08/2025
At Nestlé, our values are rooted in respect. When we embrace diversity and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business. People of all gender identities, ethnically diverse individuals, people with disabilities, and members of the LGBT+ community are strongly encouraged to apply. If there is anything we can do to accommodate you to participate fully in the application process, please let us know. We take pride in championing inclusion and diversity, our people make up a number of Colleague Networks who represent different experiences and communities who hold us accountable in creating a sense of belonging for all, and our values create the conditions for us to respect the unique contribution you bring. Find out more about our Colleague Networks here: Diversity, equity and inclusion | Nestlé (nestle.co.uk)
We are committed to equal opportunity for all, and we may collect relevant data for monitoring purposes during our candidate registration process. Be yourself, everyone else is taken!
Data Analytics & Shopper Marketing Manager
Posted 4 days ago
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Head of IT: Data and Analytics
Posted 10 days ago
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Data Scientist, Product Analytics

Posted today
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As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Scientist, Product Analytics Responsibilities:
1. Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
2. Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
3. Work as a key member of the product team to solve problems and identify trends and opportunities
4. Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
5. Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
6. Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics
**Minimum Qualifications:**
Minimum Qualifications:
7. 4+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
8. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution (including defining metrics, experiment, design, communicating actionable insights)
**Preferred Qualifications:**
Preferred Qualifications:
9. Master's or Ph.D. Degree in a quantitative field
**Industry:** Internet
Data Engineer, Product Analytics

Posted 13 days ago
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As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Engineer, Product Analytics Responsibilities:
1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership
5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
10. Influence product and cross-functional teams to identify data opportunities to drive impact
11. Mentor team members by giving/receiving actionable feedback
**Minimum Qualifications:**
Minimum Qualifications:
12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
14. 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
**Preferred Qualifications:**
Preferred Qualifications:
15. Master's or Ph.D degree in a STEM field
**Industry:** Internet
Data Science Manager, Marketing
Posted 2 days ago
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+ 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.
+ Proven 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 13 days ago
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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 Clinical Data Science Programmer
Posted 5 days ago
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ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.
We are currently seeking a Senior Clinical Data Science Programmer to join our diverse and dynamic team. As a Senior Clinical Data Science Programmer at ICON, you will play a pivotal role in developing and implementing programming solutions to support the analysis and reporting of clinical trial data. You will contribute to the advancement of innovative treatments and therapies by ensuring the accuracy and efficiency of data processing through your programming expertise.
**What You Will Be Doing:**
+ Developing, validating, and maintaining programming solutions for data analysis and reporting in clinical trials.
+ Collaborating with clinical data scientists and biostatisticians to ensure the integration of programming solutions into the overall data management process.
+ Overseeing the generation of statistical datasets, tables, listings, and figures to support regulatory submissions and study reports.
+ Providing guidance on programming best practices, coding standards, and data quality control measures.
+ Staying updated on advancements in programming languages and data management tools to enhance operational efficiencies.
**Your Profile:**
+ Advanced degree in a relevant field such as computer science, statistics, or life sciences.
+ Extensive experience in programming for clinical trials, with proficiency in languages such as SAS, R, or Python.
+ Strong problem-solving skills and the ability to work collaboratively in a fast-paced, cross-functional environment.
+ Excellent attention to detail and organizational skills, with a commitment to delivering high-quality results.
+ Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and influence outcomes.
#LI-RD1
**What ICON can offer you:**
Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent.
In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.
Our benefits examples include:
+ Various annual leave entitlements
+ A range of health insurance offerings to suit you and your family's needs.
+ Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
+ Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being.
+ Life assurance
+ Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.
Visit our careers site ( to read more about the benefits ICON offers.
At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here ( in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles.
Are you a current ICON Employee? Please click here ( to apply
Senior Clinical Data Science Programmer
Posted 6 days ago
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