Key Responsibilities:
• Lead and mentor a team of data analysts, providing technical guidance and fostering a collaborative team environment.
• Design, develop, and implement advanced data analytics models and algorithms using Python.
• Work closely with stakeholders to understand business requirements and translate them into analytical solutions.
• Drive the development and execution of data analytics strategies to support business objectives.
• Oversee the extraction, transformation, and loading (ETL) processes to ensure data quality and integrity.
• Develop and maintain scalable data pipelines and workflows.
• Perform data exploration, statistical analysis, and predictive modeling to uncover insights and trends.
• Communicate complex analytical findings and insights to non-technical stakeholders in a clear and concise manner.
• Lead the creation of a POC for using generative AI in software development, demonstrating its potential to improve efficiency, quality, and innovation.
• Collaborate with software development teams to integrate generative AI solutions into existing workflows.
• Stay current with industry trends, best practices, and emerging technologies in data analytics, generative AI, and Python programming.
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data analytics, with at least 2 years in a leadership or supervisory role.
• Proficiency in Python programming and its libraries (e.g., pandas, numpy, scikit-learn, matplotlib, seaborn).
• Strong understanding of statistical analysis, machine learning, and data mining techniques.
• Experience with generative AI models (e.g., GPT, GANs) and their applications in software development.
• Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI) is a plus.
• Solid experience with SQL and database management.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Preferred Qualifications:
• Experience with AWS cloud platform and their data analytics and AI services.
• Knowledge of data governance and data privacy regulations.
• Experience in agile development methodologies.