R&D Analyst

1 day ago

Chennai, India KONE Full time

The R&D Office Executive will support the R&D Head in driving key strategic and operational initiatives across the organization. The role involves collaborating with department heads to collect, analyze, and report KPIs, monitor productivity metrics, and provide data-driven insights to enhance efficiency and decision-making. The individual will play a pivotal role in supporting transformation projects, automation initiatives, and digital reporting across R&D functions. Key Responsibilities: Coordinate with all R&D department heads to gather monthly KPIs, project status, and business updates. Analyze performance metrics and productivity trends using advanced data analysis techniques. Develop and maintain Power BI dashboards and automated reports for R&D performance tracking. Work closely with the R&D Head to drive continuous improvement and transformation initiatives. Support in preparation of R&D review presentations, progress summaries, and management reports. Conduct variance analysis and identify areas for efficiency improvement. Collaborate with Finance and HR teams to align KPI and productivity data with cost and resource metrics. Ensure timely consolidation and validation of R&D performance data. Assist in workflow automation and digital transformation projects within R&D. Benchmark internal performance metrics with industry standards and provide insights for improvement. Support audit and compliance documentation related to R&D operations. Facilitate cross-functional meetings, track action items, and ensure timely follow-ups. Key Skills & Competencies: Bachelor’s degree in Engineering, certification in Data Analytics Technical Skills: Advanced proficiency in Power BI, MS Office, and data visualization tools.Knowledge of data automation tools (Power Automate)Strong analytical and quantitative skills with experience in data modeling and trend analysis. Behavioral Skills: Excellent coordination and communication skills.Strong business acumen and attention to detail.Ability to work cross-functionally and manage multiple priorities.Proactive, results-driven, and capable of handling sensitive data with confidentiality.Problem-solving and process-improvement mindset. Key Performance Indicators: Accuracy and timeliness of KPI reporting. Quality and impact of data-driven insights shared with R&D leadership. Successful execution of automation and transformation initiatives. Improvement in productivity and operational efficiency metrics. Read more on

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