Business Analyst - Noida

Job Description

The ideal candidate is a team player who will be responsible for working with company data in various business areas. Specific responsibilities include reporting metrics, analyzing methodologies, suggesting operation improvements, and building proposal evaluations in a cross-functional environment.

Responsibilities

Sales Analytics:

Analyze sales data to identify trends, performance metrics, and opportunities for growth.

Develop and maintain dashboards to provide real-time insights into sales performance and KPIs.

Conduct competitor analysis and market research to support data-driven sales strategies.

Provide recommendations to optimize sales strategies based on data insights and predictive analysis.

Training Analytics:

Track and analyze the effectiveness of training programs, identifying areas for improvement.

Design dashboards to measure training completion, level of learning and probability of clearing language exams

Collaborate with Training teams to improve training content and delivery based on data.

Identify patterns and trends in training data to help enhance candidate productivity and engagement.

Operations Analytics:

Analyze operational processes and workflows to identify bottlenecks, inefficiencies, and areas for improvement.

Develop metrics to track operational performance, such as cycle times, process efficiencies, and resource utilization.

Provide data-driven recommendations to improve operational productivity and reduce costs.

Implement automation and process improvement strategies based on operational data insights.

Conduct root cause analysis to troubleshoot operational issues and recommend solutions.

Data Management & Reporting:

Collect, clean, and organize data from various internal systems to ensure data accuracy and reliability.

Create regular reports and presentations for Founders, summarizing data-driven insights.

Develop automated reporting and visualization tools to provide ongoing insights into sales, training, and operations.

Present insights in a clear, actionable format for non-technical stakeholders.

Collaboration & Stakeholder Management:

Partner with cross-functional teams, including Sales, Training, Operations, and L&D, to align data insights with business objectives.

Support leadership in making informed, data-driven decisions regarding sales, training effectiveness, and operational efficiencies.

Process Improvement:

Continuously evaluate and enhance data collection, analysis, and reporting processes for greater efficiency.

Lead initiatives to automate repetitive tasks, improve data quality, and streamline reporting functions.