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Data Analyst Jobs in Ireland

Last Updated : 17 Apr, 2024
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Data analyst jobs are important and demandable. Data analyst jobs are prevalent in Ireland. Many top-level companies in Ireland hire data analysts. A data analyst will get a healthy salary in Ireland. So many job seekers are willing to go to Ireland as data analysts to grow their careers. In this article, we will learn about data analyst jobs in Ireland and have created a list of companies that hire data analysts.

Roles and responsibilities of a data analyst

  • Gather data from primary and secondary sources to ensure the conservation of databases and data systems.
  • Identify, examine, and decode trends or patterns within intricate datasets.
  • Analyses computer-generated reports and outputs to identify and rectify coding errors.
  • Coordinate with management to classify business and informational priorities.
  • Find out the opportunities to enhance processes.
  • Use statistical techniques to identify as well as rectify data and produce actionable business insights.
  • Strongly collaborate with the management team to determine and rank the needs of different business units.
  • Develop data dashboards, charts, and visual aids to be able to solve decision-making across departments.
  • Solve analytical problems through both reports and visual presentations.
  • Strongly collaborate with the team management to understand business requirements.

Companies Hiring Data Analysts

Astreya

Requirements:

  • Bachelor’s degree (B.S/B.A) and 2 to 5 years’ related experience, training, or equivalent combination of education and experience
  • Able to building productive internal and external working relationships
  • Expert in judgment within defined procedures and practices to determine effectively action
  • Strong knowledge in SQL skills (including creating and modifying macros, as well as creating dashboards using SQL coding)
  • Excellent communication skills (written and verbal both)
  • Highly attention to detail
  • Knowledge in Advanced Excel skills (such as formulas, functions, pivot tables, lookup and reference formulas), vlookups, statistical formulas (countifs, sumifs), macros (ability to create new and edit existing), conditional formatting, importing data, creating graphs/charts, etc.
  • Ability to individually analyze large amounts of data; including the ability to identify, analyze, and interpret trends, gaps, patterns in complex data sets
  • Experience using Google PLX Dashboards is a plus

Apply here: Careers

Morgan McKinley

Requirements:

  • Practical experience as a QA Analyst or any other similar role, preferably in a software development environment.
  • Knowledge of understanding software QA methodologies, tools, and processes.
  • Able to write clearly, concise, and comprehensive test plans and test cases.
  • Experience in manual and automated testing techniques.
  • Knowledge in Agile methodologies and working in cross-functional teams.
  • Experience and strong knowledge in analytical and problem-solving skills with a keen attention to detail.
  • Strong communication and collaboration abilities.
  • Bachelor’s degree in Computer Science, Engineering, or related field is is a plus

Apply here: Careers

Hostelworld Group

Requirements:

  • Minimum 3 years of experience with quantitative data analysis.
  • Minimum 2 years of experience working collaboratively with product team members ( including product management, engineering, design, data science, data engineering etc)
  • Minimum 2 years of experience with product optimization ( funnelor website optimization), and/or outbound communication channels like email or push notifications.
  • Minimum 3 years of experience in web analytics (such as Google Analytics, Firebase, Branch, Adobe Analytics, Tableau, Segment, etc) and other tools to extract, analyse, and visualize data.
  • Strong experience in making analytical, data-driven decisions and communicating the results of analyses.
  • Advanced SQL experience and strong knowledge ( including querying both structured & unstructured data types)
  • Experience in statistics (such as hypothesis testing, product experimentation, regressions, experimentation logic and biases).
  • High level analytical mindset with demonstrated ability to work through complex, ambiguous problems using data.

Apply here: Careers

AIB

Requirements:

  • At least 3 years’ of experience in a model monitoring, model development, or model validation role (including IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof)
  • A bachelor’s degree in The field of quantitative analytical (2.1 or higher),including mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.).
  • Strong knowledge and expert in advanced level of SAS or SQL programming – an equivalent level in an alternate programming language would be consider (such as R, Python, Matlab). Strong experience in extracting, transforming, and cleaning data for modelling purposes.
  • Expert in data visualisation tools including QlikView, Power BI, SAS VA, or Tableau.
  • Expert to build relationships and communicate with key stakeholders, Curiosity and inventiveness. highly problem-solving skills with capability to defend their decisions from challenge both on a technical and business front.

Apply here: Careers

Bank of Ireland

Requirements:

  • Proven experience in Financial Services, Data Analytics, & Senior Stakeholder Management.
  • Expert to develop AI or ML pipelines and harnessing techniques including clustering, classification, deep learning and stochastic modelling.
  • Previous experience of data engineering (such as optimizing big data ETL pipeline, code refactoring and performance monitoring)
  • Third Level qualification, in mathematics, science, statistics, finance, IT, or other relevant field

Apply here: Careers

Davy

Requirements:

  • 2+ years of experience in an insight, analytics or reporting role, preferably within financial services industry or wealth management sector
  • Excellent academic background in relevant quantitative field (such as computer science, information management, data science, mathematics, statistics, economics, or any other equivalent quantitative discipline)
  • Experience and expert in one or more SQL, BI tools ( such as Power BI, Tableau, Qlik), analytical methods (including SAS, R, Python)
  • High level mindset of problem-solving skills with the ability to align analytics initiatives with business objectives
  • Excellent communication skills( written and verbal both ) with the ability to effectively convey complex analytical concepts to non-technical stakeholders
  • Able to work with team members to understand their challenges, develop data driven solutions to improve performance

Apply here: Careers

Azon Recruitment Group

Requirements:

  • At least 1-year experience as a financial analyst or a data analyst
  • Strong experience and expert in Python or R, and Tableau
  • Education background in financial accounts

Apply here: Careers

Hays

Requirements:

  • Currently living in Ireland
  • Flexible to work onsite in Cork 4 days a week for first month and 2 days a week potentially after.
  • Currently holding an EEA passport or valid Stamp 1G or Stamp 4 visa (Visa must not expire during contract or at least is renewable).
  • Immediate starter (if possible)
  • Strong experience in problem-solving and project management initiatives across multiple functional areas

Apply here: Careers

Oliver James

Requirements:

  • Strong knowledge and expert in SQL and data visualization tools
  • Experience with data analytics and reporting sections
  • Experience with DWH
  • Effectively problem-solving skills and strong communication skills
  • Ability to work independently as well as in a team environment
  • Strong knowledge of statistical analysis and modelling

Apply here: Careers

Kennedy & Partners Recruitment

Requirements:

  • Bachelor’s degree or Master’s degree in a relevant field (including Finance, Economics, Statistics, Data Science)
  • Demonstrated experience as a Data Analyst in the financial services or in the insurance sector.
  • Expert and strong knowledge in data analysis tools such as Python, R, SQL, and data visualization tools (such as Tableau, Power BI).
  • High level analytical and problem-solving skills.
  • Strong knowledge of Business Intelligence strategies.
  • Expert in communication skills to yield complex findings to non-technical stakeholders.
  • Strong attention to detail and a dedicated commitment to data accuracy and quality.

Apply here: Careers

Mason Alexander

Requirements

  • At least 2 years experience in a related role – preferably within a technology domain
  • Proven experience for the operation of a transformation or project driven lifecycle
  • Excellent communication and collaboration skills.
  • Highly strong analytical ability – proven experience of explaining data for data driven decision making
  • Expert to gather data and in analysis skills – advanced excel skills are mandatory
  • Expert in BI tool including Power BI

Apply here: Careers

Ryanair – Europe’s Favourite Airline

Requirements

  • At least 2 years of experience as an analyst
  • Bachelor’s or Master’s degree in a relevant field including Mathematics, Statistics, Data Analytics, Computer Science
  • A/B testing experience is required
  • Experience with large datasets and expert in using SQL to derive insights
  • Strong experience to use visualisation tools to produce insightful charts that help insight narrative
  • Ability and proficiency to scale and automate insights through reports and dashboards by using Power BI
  • Experience with Python and/or R will get preference
  • Knowledge of understanding of data structure and dataset management is a plus point to get hired
  • Excellent communication skills ( both written and spoken), English is mandatory
  • Ability to convey technical knowledge to stakeholders with different types of levels of technical knowledge
  • Highly attention to detail and good time management and prioritisation skills required
  • Ability to translate analysed data effectively into business findings and requirements

Apply here: Careers

Cora Systems

Requirements

  • Coming from a company that has a minimum turnover of €50M.
  • Bachelor’s degree in data analytics or other quantitative relevant field.
  • Demonstrated experience in a fast-paced working environment.
  • A confident self-starter to work on own initiative effectively.
  • Ability to work and manage word load under pressure and within short time constraints.
  • Highly attention to detail and accuracy.
  • Strong communication skills.
  • Strong knowledge of using financial planning tools and Power BI/Tableau.
  • Proven experience in excel or modelling skills; & strong PowerPoint skills.
  • Expert in operating across time zones.
  • Experience with HubSpot is a plus.
  • Experience with Databricks and Snowflake is a plus.

Apply here: Careers

Susquehanna International Group, LLP (SIG)

Requirements

  • B.Sc. in mathematics with at least 2 years python experience.
  • Advanced degree such as M.Sc. or PhD in a quantitative discipline is preferred.
  • Experience with the Python data science stack such as NumPy, Matplotlib, Pandas
  • Experience with numeric data storage methodologies, such as hdf5
  • Experienced to process large and varied datasets
  • Experience to work in a Linux environment
  • Strong knowledge of mathematical algorithms and develop high-performance implementations
  • Strong interpersonal and communication skills for communicating with traders, quantitative analysts, and other software developers
  • Experience or interest in areas such as capital markets, probability, game theory and the application of quantitative solutions to these areas is an advantageous.

Apply here: Careers

Nucleo

Requirements

  • Bachelor’s Degree in a relevant domain including Information Systems & Technology, Business or Commerce, Engineering, Data & Analytics
  • Strong in English both written and verbal
  • Strong knowledge in MS PowerPoint and Excel
  • Ability to explore and build strong relationships with stakeholders ( both internal and external )
  • Knowledge of understanding – databases and relational databases
  • Power Bi, or SQL knowledge is required

Apply here: Careers

Job Portals

To find out an ideal job, let us explore a comprehensive list of job portals. we can achieve the perfect career opportunities with ease through the given portals.

Salary of Data Analyst

The average salary of a data analyst in Ireland is €40,000/INR 3608460 per annum.

Experience Wise salary trend

Experience

Salary

0 – 3 years

€35,000 – €45,000

3 – 5 years

€45,000 – €55,000

5+ years

€55,000 – €65,000

Location wise salary trend

  1. Dublin – €47,925
  2. Dublin West – €44,285
  3. Naas – €42,180
  4. Galway – €39,301
  5. Cork – €35,484
  6. Limerick – €34,987
  7. Monaghan – €30,611

Data Analyst Jobs in Ireland – FAQs

Are data analysts in demand in Ireland?

Yes, the demand for data analysts in Ireland is too high. In the data analyst field, there is a lack of qualified students in Ireland. For this reason, Ireland wants to generate approx 21,000 job vacancies in data analyst field.

What is the base salary for a data analyst in Ireland?

The base salary for a data analyst in Ireland is €40,000, approx INR 3608460. However it depends on the location and year of experiences.

What skills do you need to be a data analyst in Ireland?

To be a data analyst in Ireland, the required basic and primary skills are – SQL knowledge, data visualisation, machine learning, and Python programming skills along with communication skill and critical thinking.

How do I become a data analyst in Ireland?

To become a data analyst in Ireland, you must have an nn undergraduate degree in computer science, statistics, or technology. However sometimes it is depend on the hiring companies.

Which language is good for data analyst?

The required languages for a data analyst are Python, SQL, R, JavaScript, and Scala. These languages are mandatory for a data analyst.



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