Job Description
- Identify bottlenecks, inefficiencies, manual dependencies, quality gaps, and cost leakages
- across Operations.
- Drive process improvement and automation initiatives with clear milestones, owners,
- KPIs, and business outcomes.
- Analyze processes, identify root causes, and design scalable operating models.
- Identify and implement opportunities to improve productivity, TAT, quality, utilization, and cost efficiency.
- Build business cases and ROI analysis for process improvement and automation initiatives.
- Track initiatives through implementation and measure the actual business impact.
- Analyze large and complex datasets to identify trends, patterns, anomalies, and improvement opportunities.
- Develop automated reports, dashboards, scorecards, and management MIS.
- Build analytical models for capacity planning, productivity, cost, forecasting, and operational performance.
- Develop and maintain data collection, reporting, and analytical frameworks.
- Perform data extraction, cleansing, validation, reconciliation, and quality checks.
- Ensure data integrity, consistency, normalization, and reliability across reporting systems.
- Translate business problems into clear data requirements, KPIs, and analytical solutions.
- Use Python and SQL to automate repetitive analysis, reporting, reconciliation, and operational workflows.
- Identify opportunities to eliminate manual processes through automation and technology.
- Leverage AI tools such as ChatGPT, Claude, Gemini, GitHub Copilot, etc. to improve productivity, analytics, reporting, RCA, and process automation.
- Work with Tech teams to convert operational requirements into scalable technology solutions.
- Evaluate new AI/automation tools based on business impact, scalability, and ROI.
- Act as the bridge between Operations, Product, and Engineering/Tech teams.
- Convert operational pain points into structured product and technology requirements.
- Partner with Product and Tech teams on requirement gathering, prioritization, UAT, implementation, rollout, and adoption.
- Evaluate changes to source production systems and assess their operational and analytical impact.
- Measure the impact of technology initiatives using data and business KPIs.
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- Develop and maintain cost, productivity, capacity, and utilization models.
- Identify opportunities to reduce operating costs while maintaining quality and SLA.
- Analyze manpower utilization, productivity, cost per unit, capacity, and process efficiency.
- Build scenario models to support manpower planning, automation, outsourcing, and scalability decisions.
- Provide leadership with clear visibility into cost, capacity, productivity, and improvement opportunities.
- The person should deliver measurable improvements in:
- Cost per unit / operating cost
- Productivity and capacity utilization
- TAT and SLA adherence
- Automation and reduction in manual effort
- Quality and reduction in rework
- Data accuracy and reporting visibility
- Process scalability
- Successful Product/Tech initiatives
- Identification and realization of cost-saving opportunities
Skills
PythonSQLExcelGitHubForecastingReconciliationProcess ImprovementProgram ManagementLeadershipTeamsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Important dates & deadlines?
Application Deadline
30 Nov 26, 04:25 PM IST
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