全职 Operations Data Analyst 工作, 薪水, Bluesky HR Consultancy Inc. Federal Territory 公司招聘中 - Ricebowl

Job Purpose:

The Operations Data Analyst is responsible for analyzing operational data to support efficient day-to-day business operations and continuous process improvement. The role focuses on monitoring key operational metrics, identifying inefficiencies or anomalies, and providing data-driven insights to improve performance, service quality, and scalability.

Work Set-up: Work From Home

Duties and Responsibilities:

1. Operational Performance Analysis

• Monitor and analyze operational metrics such as volume, turnaround time, backlog, error rates, and service levels.
• Identify trends, bottlenecks, and performance gaps across operational processes.
• Conduct root cause analysis on operational issues and performance deviations.

2. Reporting & Dashboarding

• Design, build, and maintain operational dashboards and recurring reports.
• Deliver daily, weekly, and monthly operational performance reports to stakeholders.
• Ensure data accuracy, consistency, and clarity across all reporting outputs.

3. Process Improvement Support

• Provide analytical support for process optimization, automation, and workflow improvements.
• Measure the impact of operational changes and initiatives using data.
• Recommend improvements based on insights derived from operational data.

4. Cross-Functional Collaboration

• Partner with operation team to understand business processes and data needs.
• Support operational reviews, planning, and decision-making with data insights.
• Translate complex data findings into clear and actionable recommendations for non-technical stakeholders.

5. Data Quality & Governance

• Validate data sources and ensure the integrity of operational data.
• Identify data gaps, inconsistencies, or reporting issues and work with relevant teams to resolve them.
• Document data definitions, metrics logic, and reporting methodologies.

6. Ad-hoc & Deep-Dive Analysis

• Perform ad-hoc analysis to address operational issues, management queries, and special projects.
• Conduct deep-dive investigations into anomalies, performance drops, or operational incidents.
• Support audits, reviews, and compliance requirements with data analysis when needed.

7. Continuous Improvement & Automation

• Proactively identify opportunities to automate reports and improve analytics workflows.
• Enhance monitoring and alerting mechanisms for key operational metrics.
• Stay informed on best practices in operations analytics and data visualization.

Requirements:

• Bachelor's degree in Mathematics, Finance, Statistics, Economics is preferable.
• Strong understanding of statistical techniques, hypothesis testing, and probability.
• Experience with data visualization tools such as Tableau is a plus.
• Proficiency in programming languages like Python or R for data analysis is a plus.
• Exceptional problem-solving skills and attention to detail.
• Excellent communication skills to convey insights to non-technical stakeholders.

What We Offer

• Direct mentorship and guidance from experienced compliance analysts.
• A data-driven environment that values curiosity, precision, and continuous improvement.
• Exposure to complex real-world compliance scenarios.
• Competitive salary, benefits, and professional development opportunities.