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Senior Business Data Analyst

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Job Overview

 

  • About the Role:
  • We are seeking a skilled Data Analyst to join our team, focusing on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions.
  • This role will involve utilizing Exploratory Data Analysis, Statistical Modeling, and Machine Learning to drive business growth and optimization.

 

Key Responsibilities
  • Collaborate with cross-functional teams to gather business requirements, transform them into technical plans, and deliver high-quality solutions.
  • Develop and maintain complex data processing pipelines, feature engineering, hypothesis testing, and model deployment.
  • Stay up-to-date with industry trends and best practices in machine learning and AI, applying this knowledge to improve our solutions and services.
  • Analyze data to identify areas for improvement and implement proactive measures to enhance our processes.
  • Foster a culture of quality and excellence, promoting standards and best practices within the team.

 

Requirements
  • A minimum of 5+ years of relevant professional experience, including 2+ years of Data Science/Operations Research experience.
  • In-depth knowledge of optimization methodologies, including linear/integer/nonlinear programming and heuristics.
  • Proficiency in Python programming, including object-oriented programming concepts, ML libraries, and basic SQL skills.
  • Experience working with cloud technologies, preferably Microsoft Azure, with Google Cloud Platform as a plus.
  • Familiarity with machine learning concepts and CRISP-DM project delivery methodologies.
  • Strong communication and interpersonal skills, with the ability to work effectively in a client-facing role.
  • Able to conduct independent research, gather information, and provide recommendations for solving diverse scope problems.

 

Benefits
  • Ongoing training and professional development opportunities.
  • A collaborative and dynamic work environment.
  • The chance to work on challenging projects and contribute to the growth of the organization.