Tech Data Analyst

Top Skills:
Expertise in data cleaning, transformation, and integration processes, ensuring that data is structured appropriately and ready for analysis.
Experience designing, implementing, and managing a robust data infrastructure that enables efficient and reliable data.
Experience building and deploying machine learning models, perform advanced analytics, and conduct data exploration and visualization.
Advanced data wrangling
Advanced SQL
Advanced Python
Soft Skills
Strong communicator
Excellent organization
Independent, motivated employee

Required:
Bachelor's degree in Computer Science, Business, Finance, Economics, Engineering or a related field.
6 years of relevant professional experience with an emphasis on supply chain reporting and analytics.
Expertise in data cleaning, transformation, and integration processes, ensuring that data is structured appropriately and ready for analysis.
Experience designing, implementing, and managing a robust data infrastructure that enables efficient and reliable data consumption and reporting for analytics.
Experience overseeing the management, organization, and integrity of databases, ensuring data quality, security, and accessibility for analytics purposes.
Experience building and deploying machine learning models, perform advanced analytics, and conduct data exploration and visualization.
Advanced data wrangling
Advanced SQL skills
Advanced Python skills: Leveraging your proficiency in Python programming to develop and optimize data analytics workflows, perform data manipulation and transformation tasks, and develop custom data analysis solutions.
History of analytical team collaboration and building collaborative business partner relationships
Experience managing multiple projects and stakeholders in a fast moving, results-driven business environment
Skilled communicator who can express complex concepts and ideas in a simple manner (written, presentation and verbal)
Highly organized: Effectively managing and organizing large volumes of data, ensuring data governance, documentation, and version control practices are followed to maintain data integrity and accessibility.
Strong proficiency in Agile methodologies with a track record of successfully delivering projects in iterative and collaborative environments.