SAP Data Analytics Analyst

3 weeks ago

Dublin, Dublin City, Ireland Eolas Recruitment Full time

Direct message the job poster from Eolas Recruitment

Technical Resourcer at Eolas Recruitment || IT Specialist Recruitment

About the Company

A large multinational company is seeking a Mid-Level SAP Analytics Consultant to join their team. The successful candidate will have experience working with SAP analytics tools, ETL data processing, and Python development. This is a permanent role based in Dublin, Ireland.

About the Role

Someone at mid point in their career. Someone who has business knowledge of SAP Finance modules or Accounting (P&L/ accounts etc) and who now works in the Data Analytics space. The person will extract Data from SAP Data and produce financial reports for senior stakeholders. Someone with ETL/ Apache/ Python skills and strong data Analytics.

Responsibilities

  1. Develop and maintain SAP analytics solutions, ensuring alignment with business objectives.
  2. Design, build, and optimise ETL processes for data extraction, transformation, and loading.
  3. Collaborate with business stakeholders to translate requirements into actionable insights.
  4. Utilise Python for data modelling, automation, and analytics tasks.
  5. Ensure data quality, integrity, and consistency across analytics platforms.
  6. Work alongside cross-functional teams to implement best practices in data reporting and visualisation.
  7. Support the integration of SAP analytics with other enterprise applications.

Qualifications

Educational Requirements:

  1. Bachelor's degree in Computer Science, Information Systems, or a related field.
  2. SAP certifications in analytics or data management are beneficial.

Required Skills

  1. Minimum 3+ years of experience in SAP analytics and data integration.
  2. Hands-on expertise with ETL processes and data pipeline development.
  3. Experience working with SAP BW, SAP HANA, SAP Analytics Cloud, or similar.
  4. Strong proficiency in Python for data analysis and automation.
  5. Understanding of data modelling, SQL, and data governance principles.
  6. Prior experience working in large-scale enterprise environments.

Preferred Skills

  1. Exposure to machine learning and AI-driven analytics.
  2. Experience with cloud-based SAP solutions.
  3. Knowledge of data visualisation tools (Power BI, Tableau, etc.).
  4. Familiarity with agile methodologies and DevOps practices.

Pay range and compensation package

Standard Monday to Friday Hybrid working model. You must hold Stamp1G Spousal/ Stamp4 or EU passport. Competitive salary and benefits package. Pension scheme and bonus structure.

Equal Opportunity Statement

Include a statement on commitment to diversity and inclusivity.

How to Apply

If you are interested in this role, please apply with your updated CV.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology and Finance

Industries

IT Services and IT Consulting, Financial Services, and IT System Data Services

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