Operations Analyst

An Operations Analyst is responsible for analyzing operational data, improving processes, tracking performance, and supporting business teams with data-driven insights. The role combines analytical thinking, process understanding, reporting, and cross-functional coordination to improve efficiency and business outcomes.Key ResponsibilitiesAnalyze operational data to identify trends, inefficiencies, bottlenecks, and improvement opportunities.Prepare regular reports, dashboards, and performance metrics for business and operations teams.Track key operational KPIs and highlight gaps against targets.Identify process inefficiencies and recommend practical improvements.Work with cross-functional teams to gather requirements and resolve operational issues.Maintain accurate operational data and ensure consistency across reports and systems.Automate recurring reports and manual operational processes where possible.Conduct root-cause analysis for operational issues and support corrective actions.Support forecasting, capacity planning, resource allocation, and performance analysis.Document business processes, workflows, and standard operating procedures.Monitor service levels, turnaround times, productivity, quality, and other operational metrics.Present findings and recommendations to stakeholders in a clear and actionable manner.Required Skills & QualificationsBachelor's degree in Business, Operations, Economics, Engineering, Finance, or a related field.2–6 years of experience in operations analytics, business analysis, process improvement, or a related role.Strong proficiency in Microsoft Excel or Google Sheets.Experience with SQL for data analysis and reporting.Experience creating dashboards using tools such as Power BI, Tableau, Looker, or similar platforms.Strong analytical and problem-solving skills.Understanding of KPIs, operational metrics, and performance reporting.Ability to work with large datasets and identify meaningful patterns.Strong communication and stakeholder management skills.Excellent attention to detail and ability to manage multiple priorities.Good to HaveExperience with Python or another scripting language for data analysis and automation.Knowledge of process improvement methodologies such as Lean or Six Sigma.Experience with CRM, ERP, ticketing, or workflow management systems.Exposure to forecasting and capacity planning.Experience working in technology, SaaS, e-commerce, fintech, logistics, or other high-growth environments.Familiarity with automation tools and workflow platforms.