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NLB Services Linkedin · Posted yesterday

Data Engineer

Ireland

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Indexed description

Title : Data & AI Analyst with strong data visualization

Location: Dublin Ireland (Hybrid)


Description:

  • Technical Proficiency: Strong proficiency in Python for data analysis and software engineering, including experience with libraries like PyTorch or TensorFlow.
  • AI Expertise: Hands-on experience with LLMs, RAG (Retrieval-Augmented Generation) systems, vector databases, and prompt management.
  • Machine Learning Fundamentals: Knowledge of classical ML algorithms, data preprocessing, and model evaluation techniques.
  • Frameworks: Experience with agentic libraries (e.g., LangChain, AutoGen, CrewAI).
  • Cloud & DevOps: Experience deploying models on cloud platforms (e.g., AWS, GCP, Azure) and using MLOps tools (e.g., Docker).

As a Data Analyst, you will play a critical role in driving informed decision-making processes by analyzing complex data sets and transforming raw data into actionable insights. The ideal candidate should have worked in banking domain & possess a strong analytical mindset, exceptional problem-solving capabilities, and a solid understanding of financial metrics. Candidate should have Data migration experience. Your responsibilities will include developing and maintaining dashboards, conducting in-depth market research, performing trend analysis, and collaborating with cross-functional teams to ensure data integrity.


This role requires a deep-seated proficiency in data visualization tools and statistical analysis software, as well as a robust ability to communicate findings effectively to stakeholders.


  • Lead data migration activities and analysis
  • Work with Data scientists/Business Analysts/Product Owner to understand MI and dashboard requirements.
  • Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.
  • Create detailed field level mappings as needed for different MI Dashboards.
  • Develop and maintain comprehensive dashboards to visualize key performance indicators.
  • Conduct market research and trend analysis to inform strategic business decisions.
  • Collaborate with cross-functional teams to ensure data accuracy and integrity.
  • Identify and recommend process improvements based on data analysis findings.
  • Prepare detailed reports and presentations on analytical findings for stakeholders.
  • Stay updated on industry trends, data analysis techniques, and best practices.


Requirements

  • Bachelor’s degree in computer science, Information Technology, or a related field; advanced degree preferred.
  • Minimum of 8+ years of experience in data engineering or a similar role.
  • Experience in the Pydata stack: Pandas, Numpy. And Knowledge of data modelling in Python and Excel
  • Intermedia Excel skills: countifs, sumifs, pivot table.
  • Strong proficiency in statistical analysis software and data visualization tools such as Tableau, Power BI, or similar.
  • Knowledge of relational database technologies such as Teradata, Oracle and Microsoft SQL with strong SQL execution and optimisation skills.
  • Excellent documentation, report writing & presentation skill


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