224 Data Analyst jobs in Ireland

We're Hiring: Data Analyst (Entry / Junior) | Remote (Ireland)

Location:
Remote (within Ireland)

Employment Type:
Full-time

Level:
Entry / Junior

Kickstart your career in data analytics as a
Junior Data Analyst
in our
Ireland-based remote team
. You'll support data collection, cleaning, and analysis, turning raw data into actionable insights that help drive business decisions.

Key Responsibilities:

• Collect, clean, and organize datasets from multiple sources
• Perform basic data analysis to identify trends and insights
• Assist in creating dashboards and reports using
  Excel, Power BI, or Tableau
• Support senior analysts with ad-hoc projects and reporting
• Ensure data accuracy, consistency, and quality
• Present findings clearly to internal stakeholders

Requirements:

• Bachelor's degree in
  Data Science, Statistics, Mathematics, or related field
• Internship or academic experience in data analysis preferred
• Proficiency in
  Excel
  ; knowledge of
  SQL, Python, or R
  is a plus
• Strong analytical thinking, attention to detail, and problem-solving skills
• Excellent communication and ability to work independently in a remote setting
• Legal right to work in Ireland

What We Offer:

Fully remote position with flexible hours

Competitive Ireland-based salary and benefits

Mentorship, training, and professional development opportunities

Collaborative and supportive remote team culture

Opportunity to grow into mid-level Data Analyst roles

If you enjoy turning data into clear, actionable insight, this role will suit you.

A great opportunity for an experienced Data Analyst to join a global technology company, supporting finance teams with reporting, automation, and data analytics initiatives.

You'll play a key role in driving process improvements, building scalable reports, and using data to deliver meaningful insights to business leaders.

The Offer

• Attractive Annual Salary up to
  €87,000 doe
  pro-rata
• 11-month contract
  with a possibility of extension - PAYE
• Paid weekly through us Principle HR
• Hybrid role - 3 days onsite -
  Dublin City

What You'll Do

• Collaborate with finance and business teams
  to gather requirements and deliver effective reporting solutions
• Design and optimise dashboards and analytics using
  Workday reporting and Prism Analytics
• Analyse datasets to identify trends, process gaps, and opportunities for automation
• Support testing, UAT, and change management activities
  related to analytics and reporting tools
• Work within an Agile/Scrum environment to deliver continuous improvements

What You'll Bring

• 5+ years of experience as a
  Data Analyst in a finance or enterprise environment
• Strong understanding of
  data modelling, reporting, and business requirements gathering
• Workday Pro Financial Reporting Services
  and/or
  Prism Analytics certifications
  (highly desirable)
• Hands-on experience with
  SQL, Python, or R
  (advantageous)
• Excellent communication and stakeholder management skills
• Demonstrated ability to identify process gaps and propose improvements

If you're looking for a data role that blends technical depth with business impact, we'd like to hear from you.

Apply
Now
via LinkedIn or through for immediate consideration.

Role Overview

Location: Cork - NETGEAR European headquarters

Work Model: Hybrid (3 days on-site per week)

Reporting to: Support Operations Manager

As a Customer Service and Support Data Analyst, you will play a pivotal role in NETGEAR's support organisation. You'll be responsible for collecting, transforming, and analysing diverse customer datasets to uncover actionable insights into customer behaviour, preferences, and intent. Your work will directly inform service performance improvements and support strategic initiatives across the customer service and technical support teams.

This role involves a wide range of analytical tasks, including performance monitoring, trend analysis, dashboard development, and automation design. You will also represent the support organisation in broader enterprise data and analytics projects, contributing to cross-functional collaboration and innovation.

Key Responsibilities

• Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
• Develop and maintain performance dashboards and reports to monitor service metrics.
• Produce weekly, monthly, and ad-hoc reports and visualisations for internal stakeholders.
• Map customer journeys using behavioural data to identify usage patterns and pain points.
• Apply AI models to analyse customer interactions and generate consistent categorisation and feedback.
• Conduct statistical analysis to identify trends, anomalies, and improvement opportunities.
• Support ad-hoc data projects and research initiatives across the support team.
• Collaborate with cross-functional teams (e.g., Marketing, IT, Sales, Product Management) to understand data needs and deliver insights.
• Document data processes and uphold data integrity standards.
• Stay current with best practices in data analysis, reporting, and automation.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or equivalent experience (minimum 2 years).
• Understanding of data analysis concepts and statistical methods.
• Proficiency in Excel (including pivot tables); familiarity with SQL and/or Python/R is advantageous.
• Experience creating clear, concise presentations using PowerPoint or equivalent tools.
• Exposure to AI tools such as ChatGPT for data analysis.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills to present findings effectively.
• Ability to work independently and collaboratively in a team environment.
• Strong organisational skills with the ability to manage multiple projects and meet deadlines.

Preferred Qualifications

• Experience in customer service and support environments, with an understanding of common customer pain points.
• Experience with Tableau and Snowflake.

Company Statement/Values:

At NETGEAR, we are on a mission to unleash the full potential of connectivity with intelligent solutions that delight and protect. We turn ideas into innovative networking products that connect people, power businesses, and advance the way we live.

We're a performance-driven, talented and connected team that's committed to delivering world-class products for our customers. As a company, we value our employees as the most essential building blocks of our success. And as teammates, we commit to taking our work to the Next Gear by living our values: we Dare to Transform the future, Connect and Delight our customers, Communicate Courageously with each other and collaborate to Win It Together. You'll find our values woven through our processes, present in our decisions, and celebrated throughout our culture.

We strive to attract top talent and create a great workplace where people feel engaged, inspired, challenged, proud and respected. If you are creative, forward-thinking, passionate about technology and are looking for a rewarding career to make an impact, then you've got what it takes to succeed at NETGEAR. Join our network and help us shape the future of connectivity.

NETGEAR hires based on merit. All qualified applicants will receive equal consideration for employment. All your information will be kept confidential according to EEO guidelines.

Role Purpose

The Data Analyst - Operations provides actionable insights that drive operational performance and inform strategies that optimise operations across manufacturing, product portfolio and supply chain. This role develops the dashboard, reports and recommendations to support Operations' strategic decision making and enables the operational leadership to focus on effective and impactful execution.

Role Responsibilities:

• Develop and maintain dashboards and reports using suitable tools or platforms that support operations decision-making in S&OP and integrated business planning. This includes defining the data requirements of the Operations function, establishing consistent ways of working with data, and ensuring reporting outputs are aligned with business needs and planning cycles.
• Extract, cleanse, transform and analyse data from multiple sources (e.g., SAP, MES)
• Collaborate with cross-functional teams to identify the data needs and translate these into tailored dashboard reports, establishing formats and frequencies to support timely and informed decision-making.
• Develop, monitor and report on key KPIs, early alerts and risk mitigation across raw materials, production, finished goods, warehouse, and stockholding.
• Collaborate with cross-functional teams to provide insights that drive process improvements, investment decisions, product portfolio and cost reductions.
• Perform root cause analysis of issues within Operations using advanced data analytics.
• Support production planning, manufacturing, warehouse, and production scheduling with predictive and scenario-based modelling.
• Cleanse, structure, and analyse large data sets using advanced Excel functions and other tools to visualise data.
• Identification of and drive to resolve issues that exist within the master data.
• Utilise effective storytelling with data to communicate key information to stakeholders to support business processes.

Skills & Experience

• 3-5 years of experience in a data analytics role within manufacturing or supply chain within the FMCG.
• Demonstrable proficiency in PowerBI or SAP Analytics Cloud, Advanced Excel.
• Knowledge of data governance frameworks and demonstrable experience in delivering data artifacts such as data lineage, data catalogues and schema design.
• Demonstrable experience with SAP S/4 or ECC and IBP (MM, PP, Basis or Data Migration) or MES systems.
• Experience of MS Fabric or SAP Datasphere
• Strong data visualisation and data storytelling skills.
• Familiarity with LEAN principles and Sales & Operations Planning business process.
• Strong business acumen with the ability to identify relevant data needs by understanding how cross-functional drivers impact Operations.
• Experience working within a matrix organisation
• Exposure to predictive analytics and scenario modelling.

Qualifications & Certifications

• Bachelor's degree in Data Analytics, Business Analytics or related field. (
  5+ years of highly relevant demonstrable experience and technical experience may be considered in lieu of formal qualification
  )
• Relevant certifications in Power BI, SAP Analytics Cloud or other Data analytics tools are advantageous.

WaterWipes Competencies to perform the role

• Decision Making:
  Applies sound judgement to interpret complex operational data, selecting appropriate analytical methods and tools to support effective decisions that improve Operations performance.
• Driving performance:
  Delivers high-quality, actionable insights through dashboards and reports that enable the WaterWipes operational team to monitor performance, identify gaps and take corrective action to meet business goals.
• Leading others:
  Influences cross-functional teams across WaterWipes by guiding them in understanding and applying data insights. Demonstrating leadership through collaboration, clarity and support even without formal authority.
• Teamwork:
  Works collaboratively across departments, production, supply chain, finance, engineering, procurement and product portfolio to develop solutions and ensure shared understanding of data needs and outputs.
• Integrity:
  Maintains high standards of data accuracy and transparency, ensuring that insights are presented honestly and ethically to support trustworthy decision-making.
• Accountability:
  Takes ownership of data governance, dashboard delivery, and stakeholder engagement, ensuring outputs are timely, relevant and aligned with business needs.
• Driving for Results:
  Focuses on delivering measurable improvements in operational efficiency, cost reduction and planning accuracy through data-driven analysis and continuous refinement of reporting tools.

We are Nucleo, an advisory and technology consulting firm specialising in Data & AI, Enterprise Solutions and Change Delivery. We partner with organisations to deliver transformative projects that create measurable value.

Our Enterprise Solutions division optimises operations with CRM, ERP and Asset Management Systems. Our Data & AI division drives smarter decisions through automation and insights. Our Change Delivery division supports the people and develops the processes to help organisations meet their transformation goals and desired ROI.

Collaboration is at the core of our approach, both with our clients and within our teams. With over 60 in-house subject matter experts, we deliver bespoke solutions that ensure seamless implementation, stakeholder alignment, and lasting impact for businesses, their customers.

We are Nucleo, an advisory and technology consulting firm specialising in Enterprise Solutions, Data & AI, and ESG & Sustainability. We partner with organisations to deliver transformative projects that create measurable value.

Our Enterprise Solutions division optimises operations with ERP, CRM, and asset management systems. Our Data & AI division drives smarter decisions through automation and insights. Our ESG & Sustainability division helps organisations meet their sustainability goals and achieve compliance.

Collaboration is at the core of our approach, both with our clients and within our teams. With over 60 in-house experts, we deliver bespoke solutions that ensure seamless implementation, stakeholder alignment, and lasting impact for businesses, their customers, and the planet.

We work with clients in asset intensive industries to help them develop solutions that drive improved business outcomes. Our consultants are focused on gaining an extensive understanding of our client's businesses, who we work in a partnership with to empower them to take meaningful control of their assets and operations, and by extension, better control of their business.

We prioritise the professional and personal development of our team and work together as a cohesive and productive unit. What sets us apart is the collaborative, personal approach we take to the technical work we do.  At Nucleo we use the latest technology and tools to extract the most relevant and useful data in relation to our client's business, to provide them with actionable insights and recommendations to enhance their operations and ultimately add value.

As an Analyst at Nucleo you will play an integral role in the delivery of projects. You will work directly with Clients and Nucleo Project teams, taking ownership of project deliverables. You will be part of a diverse team who are experienced and passionate about improving our client's business performance and solving complex problems. You will gain experience across a range of projects by providing data analysis and migration services, business intelligence reporting and insights, support expert Asset Management solutions delivery, Project Management and Change Management practices.

Responsibilities:

• Take ownership of projects deliverables
• Build effective long-term relationships with clients
• Liaise with client to document business and system requirements
• Organise and attend stakeholder meetings
• Assist with key data, system and reporting activities:
• Design and development of reports and system solutions
• Develop, implement and test system changes
• Lead data and analytics activities, such as data preparation, validation, analysis
• Develop training and communications material
• Support key business readiness activities

Qualifications & Requirements:

• Bachelor's Degree in Information Systems & Technology, Business or Commerce, Engineering, Data & Analytics, or relevant domain.
• Fluency in English both written and verbal
• Strong MS PowerPoint and Excel skills
• Ability to explore and build strong relationships with internal and external stakeholders
• Knowledge of databases and relational databases
• PowerBi, or SQL knowledge is desireable

We are seeking a detail-oriented HR Data Analyst to support our Human Resources team with providing data-driven insights that inform strategic decisions. In this role, you will collect, analyse and interpret HR data across areas such as recruitment, employee engagement, learning and development, reward and benefits, retention and performance management. The ideal candidate has strong analytical skills, experience with HR systems and reporting tools, and the ability to translate complex data into clear, actionable recommendations.

Key Responsibilities:

• Analyse employee data from multiple sources, including recruitment, reward and benefits, learning and development, employee engagement surveys and performance management.
• Generate and maintain metrics, dashboards, reports, and visualizations to effectively communicate HR data and insights to stakeholders for performance, planning, forecasting and statutory reporting.
• Work closely with HR stakeholders to understand data requirements and develop customised reports and analytics to meet their needs.
• Interrogate data to develop actionable insights and make data driven recommendations.
• Provide expertise and translate the business needs to identify and implement an effective HRIS (HR Information System).
• Maintain accuracy and relevance of data to meet regulatory requirements.

Key Skills:

• A bachelor's degree in Human Resources, Information Systems or Business Management.
• 3+ years' experience in data analytics preferably in HR or related discipline.
• Familiarity with HRIS systems and their data structures, including data flow, extraction and manipulation.
• Strong understanding of system design, structure, configuration, workflow and user interface.
• Excellent analytical skills, with the ability to interpret data, identify trends, and drive data-driven decision-making.
• Advanced knowledge of MS Office Suite applications.
• Familiarity with Power BI is desirable but not essential.
• In-depth knowledge of HR processes, HR Policies and best practices.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels of the organisation.
• Ability to work effectively both independently and as part of a team, with a clear delivery focus.
• Strong problem-solving skills and the ability to handle multiple priorities.

Job Types: Full-time, Permanent

Pay: Up to €45,000.00 per year

Work Location: In person

Data Specilist – 11 month contract - €72,000 per annum pro rata

Dublin - Onsite

What's the opportunity?

We're looking for meticulous and experienced contractors to contribute to labeling and quality assurance efforts for Large Language Model (LLM) training in the Violating Actors & Networks (VAN) space.

VAN refers to interconnected accounts or entities—such as user accounts, Business Managers, Ad Accounts, and Pages—that are intentionally created to break policies or evade enforcement within the Abusive Actor Integrity domain.

As part of this work, you'll play a key role in improving AI models that detect and analyze abusive actor networks. Your responsibilities will focus on delivering precise, consistent, and high-quality labeling while working with complex datasets tied to abusive behaviors and interconnected entities.

The day-to-day tasks:

• Perform detailed labeling and annotation of data related to Violating Actors & Networks (VAN) to support LLM training.
• Ensure labeling accuracy, consistency, and compliance with established guidelines and policies.
• Partner with internal teams to build and maintain golden datasets for quality control and model calibration.
• Analyze data to identify patterns or trends in abusive actor networks and provide insights for model improvements.
• Support vendor site calibration and participate in quality assurance reviews as needed.
• Collaborate with stakeholders to align on labeling standards, workflows, and quality expectations.
• Recommend and implement process improvements, including documentation of labeling procedures.
• Stay current on policy updates, labeling guidelines, and industry best practices.

The ideal candidate has:

• Minimum 2+ years of experience in content moderation, data labeling, quality assurance, or a related field.
• Exceptional attention to detail with a proven ability to deliver high-accuracy work in fast-paced environments.
• Strong analytical skills, with the ability to recognize patterns and detect anomalies in complex datasets.
• Demonstrated ability to work both independently and collaboratively in team settings.
• Familiarity with abusive behavior patterns, policy enforcement, or integrity challenges is a strong plus.
• Excellent written and verbal communication skills.

This opportunity is a contract for 11 months, potential for extension depending on project progress, onsite in Dublin 4, paying €72,000 per annum pro rata.

By applying here you agree to RECRUITERS storing your CV in our secure applicant tracking system (ATS; Bullhorn). As your consultants, we are dedicated to helping you find a new job in your field of expertise and, equally, to always keeping your personal information secure. Your CV will not be sent to any third party without your consent.

Purpose

As a Data Manager, you will be vital in building our animal data models, working closely with Marketing, IT, and R&D leads and teams to explore the data our products upload to our data platform. You will innovate new data features and work with data scientists to create innovative farm and animal KPIs promoting animal health and wellbeing. You will be responsible for data quality and integrity, ensuring our data is up-to-date and of high value.

The Data Manager will report to the Animal Data & governance lead within our Animal Health Data Labs organization.

Responsibilities:

• Develop and implement data models revolving around animals.
• Define and enforce data standards, naming conventions, and classification schemes.
• Collaborate with marketing, veterinary professionals, researchers, data engineers, and data management teams to identify data-related requirements and ensure alignment with animal health objectives.
• Monitor data quality and proactively identify and resolve issues or anomalies in animal health records and datasets.
• Conduct data profiling, analysis, and validation to ensure the accuracy, completeness, and consistency of animal health data.
• Establish data documentation and metadata management processes for animal health records, diagnostic, and research data.
• Provide guidance and support to veterinary professionals and researchers on data governance best practices and standards in animal health.

Qualifications

• 5-8 years of proven hands-on experience working as a Data Steward, Data Manager, Data Custodian, or similar role.
• Bachelor's degree, or higher, in Information Systems Management or a related field.
• Proficiency in data quality, cataloging, modeling, analysis, and metadata management.
• Experience with data management tools and technologies, such as Collibra, Immuta, and Data Bricks
• Experience harvesting data from ERP and CRM systems such as SAP and Salesforce, with a proven track record of building complex customer data models in international corporations.
• Excellent analytical and problem-solving skills, with an ability to interpret and analyze veterinary records and diagnostic data.
• Strong communication and interpersonal skills to collaborate with stakeholders.
• Ability to work independently and effectively prioritize tasks in dynamic environments

Desired Qualifications

• Experience in Data Science or a related field.
• Strong knowledge of veterinary medicine and animal health data management principles.
• Experience working for multi-national companies.

Data Analyst - Detection & Enforcement Team

• 6 months contract - possibility to extend
• Hybrid - Dublin North

We are looking for a highly skilled
Data Analyst
with
5+ years of experience
in developing statistical models, creating advanced data visualizations, and applying
machine learning techniques
to large and complex datasets. The ideal candidate will have strong proficiency in
SQL, Python/R, and visualization tools such as Tableau
, with a proven track record of leveraging data to detect trends, build enforcement controls, and deliver actionable insights. This role requires hands-on expertise in data-driven problem solving, a solid understanding of
compliance and risk detection frameworks
, and the ability to collaborate effectively with cross-functional teams including engineering, policy, regulatory, and operations.

The Detection & Enforcement Controls Implementation team are responsible for analyzing and interpreting data related to policy violations and compliance issues within the organization.

You will:

• Develop and drive effective change plans, implementing high quality detection & controls while balancing execution with risk mitigation and operational efficiency via the collection, processing and analysis of data related to policy violations and enforcement actions, and the identification and interpretation of trends or patterns in complex datasets
• Be responsible for detection & controls creation, organisation, innovation and maintenance of relevant documentation
• Provide data-driven insights and recommendations to improve policy enforcement strategies, ensuring data integrity and accuracy in all reporting and analysis
• Promote standard methodology sharing across global teams as well as within own function, supporting shared learning
• Collaborate with teams to understand policy/legal requirements and translate them into enforcement control pipelines and partner effectively and maintain positive relationships with Policy, Regulatory, customer support, and global cross functional teams
• Stay current on industry trends and developments in data analysis and policy enforcement
• Prepare regular reports on compliance and enforcement metrics for internal and external stakeholder
• Lead & support complex projects including collaboration with business units, product management and customer support
• Effectively resolve conflict, remove roadblocks, and support or lead on decision-making, or partner concerns that arise
• Assist in maintaining enforcement platforms and support deployments

Key Requirements, Skills & Knowledge:

• Proven analytical skills with previous experience as a data analyst or related role.
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• PMP or PRINCE2, Six Sigma, Agile or other certifications a plus
• Ability to define & clearly articulate success by metrics and data driven measurements
• Basic knowledge of machine learning including experience with LLMs as a user
• Experience in working with engineering teams
• SQL, Excel PivotTable, Tableau and other data visualisation experience.
• Some basic skills in R, Python etc and/or ability to build useful tools for the group are a plus
• Understanding in policy enforcement is nice to have
• Ability to work effectively in an autonomous fashion, and willingness to enable the success of partners worldwide
• Experience in project management and change leadership
• Ability to quickly understand different domains and efficiently work with subject-matter experts to gather knowledge
• Experience in crowdsourcing a plus

By applying here you agree to RECRUITERS storing your CV in our secure applicant tracking system (ATS; Bullhorn). As your consultants, we are dedicated to helping you find a new job in your field of expertise and, equally, to keeping your personal information secure at all times. Your CV will not be sent to any third party without your consent.