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.