Senior Data Analyst

Job Title:

Location:

About the Role

Senior AI Analyst

Key Responsibilities

• Prepare and transform complex datasets using advanced data wrangling and preprocessing techniques.
• Design and maintain data pipelines integrating information from multiple sources.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and business insights.
• Develop and deploy AI-based analytical models using

  Python

  and

  SQL

  .
• Create insightful dashboards and visualizations using

  Tableau

  and

  Excel

  .
• Translate AI model results into actionable recommendations for technical and business teams.
• Collaborate with data scientists, engineers, and stakeholders to operationalize AI solutions.
• Evaluate and fine-tune ML models for performance, scalability, and business relevance.
• Stay current with emerging AI/ML technologies and best practices.

Required Skills & Qualifications

• 3–6 years of experience in AI analysis, data science, or analytics.
• Strong expertise in

  Python

  (NumPy, Pandas, Scikit-learn) and

  SQL

  .
• Proven skills in

  EDA

  ,

  statistical modeling

  (regression, classification, clustering), and

  data pipeline development

  .
• Proficiency in

  Tableau

  and

  Excel

  for visualization and reporting.
• Experience with cloud platforms (AWS, GCP, or Azure) and version control (Git) preferred.
• Excellent analytical, problem-solving, and communication skills.
• Exposure to

  Retail or CPG industry

  is an added advantage.