Data Analyst

We are seeking a highly motivated and detail-oriented Data Analyst to support the data analysis, process mining, data standardization and optimization. The ideal candidate will play a crucial role in analyzing workflows, developing a data dictionary, standardizing data processes, and delivering predictive insights to optimize performance.

Key Responsibilities:

• Collaborate with stakeholders during project kickoff to gather data requirements and set objectives.
• Map and analyze current processes to identify inefficiencies and bottlenecks.
• Develop metrics to assess and improve process performance, with a focus on automation opportunities.
• Build and maintain a comprehensive data dictionary to ensure consistent terminology and definitions.
• Design and implement a catalog of process-related data, ensuring standardization.
• Generate predictive reports to optimize asset management and improve workflows.
• Monitor system health, performance metrics, and key outcomes using advanced data visualization techniques.
• Provide ongoing insights and reporting to stakeholders.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• 3 years of experience in data analysis, data engineering, or a related role.
• Proficiency in data analysis tools (e.g., Python, R, SQL) and data visualization platforms (e.g., Power BI, Tableau).
• Strong understanding of process analysis and optimization methodologies.
• Experience with data standardization, data governance, and knowledge management practices.
• Ability to communicate insights effectively through visualizations and reports.
• Familiarity with predictive analytics and KPI reporting is a plus.

Contract Term: 6 months 
Experience: 3 years