Description

Responsibilities

  • Utilize AWS software to manage and analyze large datasets, ensuring data integrity and security.
  • Work with key stakeholders to strategize and automate data collection, processing, and analysis abilities.
  • Lead data tagging initiatives to enhance data categorization and retrieval processes.
  • Collaborate with cross-functional teams to identify data needs and provide actionable insights.
  • Create and maintain dashboards and reports to visualize data trends and performance metrics.
  • Conduct thorough data analysis to support business strategies and decision-making.
  • Escalate data quality concerns and needs appropriately and timely.
  • Stay updated with the latest industry trends and technologies to continuously improve data analysis processes.


Qualifications

  • Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
  • 5+ years of related work experience
  • Proven experience with AWS software and services (e.g., S3, Redshift, Lambda).
  • Strong understanding of data tagging techniques and best practices.
  • Proficiency in data analysis tools and programming languages (e.g., Python, SQL).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Excellent problem-solving skills and attention to detail.
  • Knowledge of data governance and integrity.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.


Preferred Qualifications:

  • Master's degree in a related field or 7+ years of analytical experience.
  • Experience with machine learning and AI technologies.
  • Hands-on experience in developing and deploying bots for data-related tasks

Education

Any Graduate