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Senior Business Data Analyst

  • Location:

    Republic of Ireland

  • Sector:

    Technology

  • Job type:

    Permanent

  • Salary:

    €70000 - €75000 per annum

  • Contact:

    Dylan Gaffney

  • Contact email:

    dylan.gaffney@oliverjames.com

  • Job ref:

    JOB-042025-275446_1744101973

  • Published:

    10 giorni fa

  • Expiry date:

    2025-04-13

Senior Business Data Analyst

Location: Cork / Dublin

Company Overview:

The Data and Analytics team is expanding, seeking passionate and talented Data Scientists to help the company become more data-driven. You will use advanced analytics and big data technologies to drive better business decisions, enhance customer personalisation across all channels, improve processes, optimise marketing spend, and create new data-driven income streams.

Key Responsibilities:

  • Use analytical thinking to identify business opportunities and challenges.
  • Lead data science initiatives across various business areas, focusing on customer behaviour, segmentation, loyalty, marketing, media, online and trading.
  • Provide actionable insights to streamline processes, boost revenue, and improve performance.
  • Translate complex technical findings into understandable insights for non-analytical colleagues and stakeholders.
  • Apply data mining, statistical methods, and machine learning to derive business value from transactional and operational data.
  • Contribute to initiatives that tailor customer experiences and generate new revenue streams based on customer data.
  • Promote the use of analytics to solve business problems and create value.
  • Mentor and guide junior data scientists and analysts, fostering their growth and development.

Experience and Skills Required:

  • 3-5 years in a similar data science or business data analysis role.
  • Proven track record in driving business performance using data analytics, AI, and advanced techniques.
  • Proficiency in SQL and experience working with large datasets.
  • Experience with Python or R for statistical analysis.
  • Essential experience with cloud-based environments and platforms like Databricks.
  • Ability to apply computational algorithms and statistical methods to both structured and unstructured data.
  • Strong communication, presentation, and influencing abilities to engage stakeholders and simplify complex findings.
  • A third-level qualification in Statistics, Computer Science, Data Science, or a related field (postgraduate level preferred).
  • Experience in coaching, mentoring, or leading junior team members.

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