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Senior Data Analyst / AI Engineer

Pozent Corporation
7 hours ago
Full-time
On-site
Role Overview

We are seeking a Senior Data Analyst / AI Engineer with strong expertise in data analytics and conversational AI solutions. The ideal candidate will drive data-driven insights, develop advanced dashboards, and support AI-powered chatbot and automation initiatives, preferably within the Pharma or Life Sciences domain.

Key Responsibilities Analyze large and complex datasets to generate actionable insights and support strategic decision-making Design and develop advanced dashboards and reports using tools like Power BI or Tableau Build, optimize, and maintain scalable data pipelines and workflows Develop and enhance conversational AI solutions, including chatbots and NLP-based applications Collaborate with cross-functional teams to integrate AI solutions into enterprise systems Ensure data quality through robust data cleaning, transformation, and validation processes Support development and deployment of machine learning models for AI use cases Optimize database performance and improve efficiency of data systems Work with Pharma/Life Sciences data while ensuring compliance with industry standards

Required Skills & Qualifications

8+ years of experience

in Data Analytics, Data Engineering, or AI-related roles Strong programming skills in Python and SQL Extensive experience with data visualization tools (Power BI, Tableau, or similar) Hands-on experience with data manipulation libraries such as Pandas and NumPy Solid understanding of machine learning and/or conversational AI concepts Experience working with databases (MySQL, PostgreSQL, or similar) Experience in Pharma or Life Sciences domain is required Strong analytical, problem-solving, and stakeholder communication skills

Preferred Qualifications

Experience with chatbot development or NLP frameworks Exposure to cloud platforms (AWS, Azure, or GCP) Familiarity with data pipeline tools and ETL processes Knowledge of regulatory frameworks (e.g., GxP, HIPAA) Experience supporting clinical, regulatory, or commercial data use cases

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field