Open app

Operations data analyst Job Description

Operations data analyst Job Description Template

An Operations Data Analyst scrutinizes operational data, identifies performance trends, and provides actionable insights to enhance efficiency. Responsibilities encompass data collection, analysis, reporting, and implementing data-driven strategies to optimize business operations.

Responsibilities:

  • Analyze and interpret complex data sets using statistical techniques and software
  • Develop and maintain databases and data systems necessary for projects and department functions
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Provide regular reports to management and other stakeholders on data findings
  • Collaborate with cross-functional teams to identify opportunities for process improvement
  • Communicate complex data findings to non-technical stakeholders in a clear and concise manner
  • Ensure data accuracy and integrity by conducting regular audits and reconciliations
  • Stay up-to-date on industry trends and best practices for data analysis and management

Requirements:

  • - Bachelor's degree in Computer Science, Statistics, or a related field
  • - At least years of experience in operations data analysis
  • - Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI
  • - Strong analytical and problem-solving skills, with a keen attention to detail
  • - Ability to work with cross-functional teams and communicate complex data insights in a clear and concise manner
  • - Knowledge of statistical analysis techniques and experience with statistical software such as R or Python
  • - Experience with data warehousing and data modeling
  • - Familiarity with operations management concepts and tools, such as Lean Six Sigma or process improvement methodologies