Conducting In-Depth Data Analysis: Proficient in employing advanced statistical methods to analyze extensive datasets, identifying trends, patterns, and correlations. Utilize SQL, Python and other data analysis tools to extract, clean, and transform data for analysis.Data Visualization and Reporting: Creating compelling and visually appealing data visualizations, dashboards, and reports using Tableau, Power BI, or similar tools. Effectively communicate analytical findings to stakeholders, supporting data-driven decision-making processes.Business Intelligence Solutions: Developing and maintaining business intelligence solutions to monitor key performance indicators (KPIs) and support real-time tracking of business performance across departments.Predictive Modeling and Prescriptive Analysis: Proficient in building predictive models using regression, clustering, and machine learning techniques to forecast future trends and support prescriptive analysis for strategic planning.Data Quality Assurance: Establishing and enforcing data quality standards, conducting data profiling, and implementing measures to ensure data accuracy and integrity throughout the organization.Collaborative Stakeholder Engagement: Collaborating closely with business leaders, product managers, and cross-functional teams to understand their data needs and provide data-driven insights to support strategic initiatives.Process Optimization and Automation: Identifying opportunities for process optimization and automation to enhance efficiency and data accuracy.Mentorship and Leadership: Demonstrated ability to lead and mentor team members, fostering a culture of continuous learning and professional growth.

Data Gathering and Cleaning: Collecting and cleaning data from various sources, ensuring data accuracy and integrity for analysis.Data Analysis: Utilizing tools like Excel, SQL, Python, or R to conduct data analysis, identifying patterns, trends, and correlations.Data Visualization: Creating clear and informative data visualizations, charts, and graphs to present insights effectively.Basic Statistical Analysis: Applying fundamental statistical techniques such as descriptive statistics and hypothesis testing to extract meaningful insights from data.Report Generation: Preparing concise and insightful reports and summaries of analysis results for presentation to stakeholders.Collaborative Support: Assisting senior data analysts and cross-functional teams in data-related tasks and projects.Data Quality Assurance: Participating in data quality assessments and contributing to data governance initiatives.Learning and Development: Continuously improving technical and analytical skills through training and learning opportunities.

Perform testing and commissioning of different SCOPE products such as Breaker Analyzer, Breaker Timer, DCRM, Winding Resistance meter, Transformer Turns Ratio Meter, Leakage Current Monitor (for LA), Contact resistance Meter, Tower Footing Resistance, Digital Earth Tester, and SF6 Gas Leakage Detector.Conduct demonstrations in front of customers to showcase the features and benefits of SCOPE products.Ensure that SCOPE products meet customer specifications and quality standards

• Sales & Marketing of SCOPE’s Product & Services in the designated customer segment.• Understanding the exact requirement from the specification.• Selection of correct Product / Solution & selection of suitable supplier / manufacturer for the SCOPE’s Product & Services.• Follow-up with the customer on a regular basis.• Techno-commercial negotiation & finalization of the order.• Preparation of Sales Projection & Recovery Projections for the territory.