Data Analyst

Job ID: 200302

Required Travel : Minimal

Managerial - No

Location: Israel- NAZRAT (Amdocs Site)

Who are we?

Are you passionate about a future driven by data and intelligent systems? Do you thrive on uncoveringactionable insights that fuel cutting-edge Artificial Intelligence (AI) and Generative AI (GenAI)solutions? If so, we invite you to join our dynamic and forward-thinking team!

In one sentence

Are you passionate about a future driven by data and intelligent systems? Do you thrive on uncoveringactionable insights that fuel cutting-edge Artificial Intelligence (AI) and Generative AI (GenAI)solutions? If so, we invite you to join our dynamic and forward-thinking team!

What will your job look like?

• Collaborate with data scientists, AI/ML engineers, and product managers to define objectives and datarequirements.
• Source, integrate, and evaluate data from various sources for AI/GenAI model development and evaluation.
• Prepare data for modeling, including cleaning, feature engineering, and specialized needs.
• Conduct in-depth data analysis to uncover patterns, trends, and insights.
• Support model evaluation and develop reports and metrics for tracking.
• Utilize GenAI tools to enhance analytical workflows and generate synthetic data.
• Ensure data quality, integrity, and security, and contribute to ethical AI practices.
• Monitor model performance and participate in continuous improvement.
  
  

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related quantitative field..
• Proficiency in SQL and Python or R, including libraries like Pandas, NumPy, Scikit-learn.
• Experience with visualization tools like Tableau, Power BI, Matplotlib, Seaborn.
• Basic understanding of machine learning concepts and algorithms.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
  
  

• Familiarity with cloud platforms like AWS, GCP, Azure.
• Knowledge of MLOps/AIOps principles and tools.
• Experience with big data technologies like Spark.
• Contributions to open-source projects or a portfolio of data analysis work.
  
  

• Impactful work in developing advanced AI and GenAI solutions.
• Innovative environment that encourages learning and experimentation.
• Professional growth opportunities in the rapidly evolving field of AI and GenAI.