Operations Analyst

Operations Analyst (Contract)

Key Responsibilities

• Analyze day-to-day operational processes, workflows, and performance metrics to identify improvement opportunities. 
• Use AI tools to accelerate data analysis, reporting, documentation, research, and process optimization. 
• Build and maintain dashboards, reports, and operational trackers for leadership and business teams. 
• Collect, clean, and interpret operational data to identify trends, risks, bottlenecks, and performance gaps. 
• Support process improvement initiatives by recommending practical, scalable solutions. 
• Work with cross-functional teams to document workflows, standard operating procedures, and business requirements. 
• Identify opportunities for automation using AI, no-code/low-code tools, or workflow platforms. 
• Prepare executive summaries, business insights, and recommendations based on data analysis. 
• Monitor key operational KPIs and provide regular updates to stakeholders. 
• Support special projects related to efficiency, cost reduction, productivity improvement, and digital transformation. 

AI Fluency Requirements

The candidate should be confident using AI tools to improve operational efficiency, including:

• Prompting AI tools effectively for research, analysis, summarization, and content creation. 
• Using AI to generate reports, draft SOPs, analyze trends, and improve documentation. 
• Understanding how to validate AI-generated outputs for accuracy and business relevance. 
• Identifying where AI can reduce manual work or improve process speed and quality. 
• Familiarity with tools such as ChatGPT, or similar platforms. 
• Basic understanding of AI risks, including data privacy, bias, hallucinations, and responsible usage. 

Required Skills and Qualifications

• Bachelor’s degree in Business Administration, Operations, Analytics, Finance, Engineering, or a related field. 
• 2–5 years of experience in operations analysis, business analysis, process improvement, or a similar role. 
• Strong analytical and problem-solving skills. 
• Proficiency in Excel or Google Sheets, including formulas, pivot tables, and data cleaning. 
• Experience with reporting or visualization tools such as Power BI, Tableau, Looker, or similar platforms. 
• Strong written and verbal communication skills. 
• Ability to work independently and manage multiple priorities. 
• Good understanding of business operations, process mapping, and performance measurement. 
• Comfortable working with large datasets and translating data into actionable insights. 

Key Competencies

• Analytical thinking 
• AI-enabled productivity 
• Process improvement mindset 
• Strong attention to detail 
• Business communication 
• Data-driven decision-making 
• Cross-functional collaboration 
• Curiosity and continuous learning 
• Ownership and accountability 

Success Metrics

Success in this role may be measured by:

• Improved operational efficiency and reduced manual work. 
• Accuracy and timeliness of reports and dashboards. 
• Quality of insights and recommendations provided to leadership. 
• Successful implementation of AI-enabled workflow improvements. 
• Reduction in process bottlenecks, errors, or delays. 
• Stakeholder satisfaction with operational support and analysis. 

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Career Level - N/A

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Experience Level

Mid Level