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Data Scientist / Data Analyst (CL11) - Please apply on Careers Marketplace
Accenture —Dublin, County Dublin
- Full-time
- SQL
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2d
Sr Manager, Cloud Networking
eBay Inc. —Dublin, County Dublin
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- Computer Science
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AI & Data - AI Delivery Lead (Senior Manager & Manager)
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AI & Data - AI Lab: AI Engineer - Agentic & Generative Intelligence - Senior/Assistant Manager
EY —DUBLIN 2, County Dublin
- Hybrid work
- Azure
- Master's degree
- AWS
- Gym membership
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Data Scientist / Data Analyst (CL11) - Please apply on Careers Marketplace

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
2 days ago

Qualifications

Power BI
R
Tableau
SQL
Forecasting
Regression analysis
Predictive analytics
Data visualisation
Python

Full job description

As a Data Scientist with a strong data analytics focus, you will sit at the intersection of data, technology, and business strategy. You will play a critical in transforming large, complex datasets into meaningful insights that directly influence operational, commercial, and strategic decision-making across the organization.

Key Responsibilities

Lead the analysis of structured and unstructured datasets to uncover trends, patterns, risks, and opportunities that support data-driven business decisions.
Develop, maintain, and optimize dashboards, reports, and visualizations using modern BI and analytics tools to communicate insights clearly to both technical and non-technical stakeholders.
Design, build, test, and deploy predictive and machine learning models that improve forecasting accuracy, operational efficiency, customer experience, and business performance.
Perform advanced statistical analysis and exploratory data analysis (EDA) to identify actionable recommendations and support strategic initiatives.
Partner closely with business stakeholders, product teams, engineers, and leadership groups to translate business requirements into scalable analytical solutions.
Own the full analytics and data science lifecycle, including data extraction, cleansing, transformation, feature engineering, validation, model evaluation, deployment, and ongoing performance monitoring.
Develop automated reporting and analytics workflows to improve efficiency, reduce manual effort, and increase data accessibility across teams.
Work with large-scale data environments and cloud-based platforms to ensure analytical solutions are scalable, secure, and production-ready.
Present findings, trends, and recommendations through compelling storytelling, data visualization, and executive-ready insights.
Continuously evaluate emerging technologies, statistical techniques, and AI/ML methodologies to drive innovation and improve analytical capabilities.

Technical & Analytical Focus

Strong focus on data interpretation, trend analysis, and translating complex findings into practical business recommendations.
Experience working with SQL, Python, R, or similar analytical programming languages for data manipulation, statistical analysis, and machine learning.
Ability to work with large datasets across multiple systems and sources while maintaining high levels of data accuracy and integrity.
Knowledge of predictive analytics, regression analysis, clustering, classification models, and forecasting techniques.
Experience with data visualization and reporting tools such as Power BI, Tableau, Looker, or equivalent platforms.
Understanding of KPI development, performance measurement frameworks, and operational/business analytics.
Strong problem-solving mindset with the ability to identify root causes, quantify business impact, and recommend evidence-based solutions.

Collaboration & Business Impact

Act as a trusted analytical partner to business stakeholders by delivering insights that influence strategic planning and operational priorities.
Collaborate across technical and business functions to improve data literacy and promote a culture of evidence-based decision-making.
Support senior leadership with ad hoc analysis, scenario modelling, forecasting, and business performance reporting.
Contribute to long-term data strategy initiatives, helping shape how data is collected, governed, analyzed, and leveraged across the organization.

What Success Looks Like

Delivering high-quality analytical outputs that drive measurable business outcomes.
Building scalable, reliable reporting and analytical solutions that improve visibility and decision-making.
Providing clear, concise, and commercially relevant recommendations backed by robust data analysis.
Helping teams move from reactive reporting toward proactive, predictive, and insight-led decision-making.

This role is ideal for an analytically minded professional who combines strong technical capability with commercial awareness and a passion for using data to solve complex business challenges.

Apply Now

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sr machine learning engineer jobs

Data Scientist / Data Analyst (CL11) - Please apply on Careers Marketplace

Sr Manager, Cloud Networking

AI & Data - AI Delivery Lead (Senior Manager & Manager)

AI & Data - AI Lab: AI Engineer - Agentic & Generative Intelligence - Senior/Assistant Manager

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