- Enhance and identify areas to increase efficiency and automation of processes.
- Set up and maintain automated data processes.
- Collaborate with stakeholders to develop data strategies, roadmaps, and plans aligned with organizational goals
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Produce and track key performance indicators.
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources.
- Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
- Generate reports from single or multiple systems.
- Troubleshoot the reporting database environment and reports.
- Liaise with internal and cross-functional departments to fully understand data content.
- Analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool.
- Submit daily, weekly, monthly and annual reports to the management.
- Oversee data entry processes and ensure data accuracy and completeness.
- Monitor the pipeline line - observe the agents' follow-up.
- Ensure the accuracy, completeness, and integrity of data through regular quality checks and validation processes.
- Track the agents’ follow up and data activities.
- Maintain reports, dashboards, and data visualizations to communicate insights and findings to stakeholders.
- Organize the executed reports.
- Control the non-follow up the leads, coach the agents after alignment with the direct manager.
- Collect, analyze, and interpret data to extract insights and support decision-making processes.
- Manage master data, including creation, updates, and deletion.
- Develop the leads work flow, funnel and stages.
- Collaborate with stakeholders to develop data strategies, roadmaps, and plans aligned with organizational goals
- Develop the sales life time and process.
- Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
- Develop and maintain data frameworks and documentation.
- Stay updated on industry trends, best practices, and emerging technologies related to data management, and identify opportunities for process improvements.
Bachelor's degree in computer science, Information Management, or a related field. Advanced degree or relevant certifications are a plus.Proven experience in data management and analysis.Strong understanding of data analysis principles, including data quality, data integration, and data security.Proficiency in data analysis tools and technologies.Knowledge of statistics, database, and required technical tools.Problem Solving – Ethical Judgment- Strong Communication skills .Database tools (Excel & SQL) –Python- Power BI – Data Visualizations Tools- Any required tools