Thabo Ndlovu Email and Phone Number

• Data Gathering: Collect, extract, and transform data from various sources, such as databases, spreadsheets, and external data providers.• Data Cleaning and Preparation: Clean, process, and structure data to ensure its accuracy and consistency. This often involves data cleansing, data normalization, and data integration.• Data Analysis: Use data analytics tools and techniques to analyze data and identify patterns, trends, and anomalies. This includes generating reports, dashboards, and data visualizations.• Report Generation: Create and maintain regular reports that summarize key performance indicators (KPIs) and provide insights into business operations. These reports may be scheduled or ad-hoc.• Dashboard Development: Design and build interactive dashboards that allow stakeholders to monitor KPIs and explore data in real time.• Data Modeling: Develop data models and data structures to support analytical processes, including data warehouses, data marts, and data cubes.• Business Requirements Gathering: Collaborate with business users and stakeholders to understand their data needs and translate them into technical requirements. Played a key role in data analysis for the Mining sector in South Africa and Sub-Saharan Africa, including regions like EMEA, MEA • Query and Data Retrieval: Write SQL queries or use BI tools to retrieve data from databases and data warehouses.• Data Visualization: Create data visualizations, such as charts, graphs, and heat maps, to make complex data more understandable and accessible to non-technical users.• Performance Monitoring: Track and assess the performance of business processes, products, and services, using historical data to identify areas for improvement.• Trend Analysis: Monitor and identify trends, opportunities, and potential risks that can impact the organization's performance and competitiveness.• Predictive Analytics: Apply statistical and machine learning techniques to predict trends

• Data Gathering: Collect, extract, and transform data from various sources, such as databases, spreadsheets, and external data providers.• Data Cleaning and Preparation: Clean, process, and structure data to ensure its accuracy and consistency. This often involves data cleansing, data normalization, and data integration.• Data Analysis: Use data analytics tools and techniques to analyze data and identify patterns, trends, and anomalies. This includes generating reports, dashboards, and data visualizations.• Report Generation: Create and maintain regular reports that summarize key performance indicators (KPIs) and provide insights into business operations. These reports may be scheduled or ad-hoc.• Dashboard Development: Design and build interactive dashboards that allow stakeholders to monitor KPIs and explore data in real time.• Data Modeling: Develop data models and data structures to support analytical processes, including data warehouses, data marts, and data cubes.• Business Requirements Gathering: Collaborate with business users and stakeholders to understand their data needs and translate them into technical requirements. Played a key role in data analysis for the Mining sector in South Africa and Sub-Saharan Africa, including regions like EMEA, MEA • Query and Data Retrieval: Write SQL queries or use BI tools to retrieve data from databases and data warehouses.• Data Visualization: Create data visualizations, such as charts, graphs, and heat maps, to make complex data more understandable and accessible to non-technical users.• Performance Monitoring: Track and assess the performance of business processes, products, and services, using historical data to identify areas for improvement.• Trend Analysis: Monitor and identify trends, opportunities, and potential risks that can impact the organization's performance and competitiveness.• Predictive Analytics:

Data Analysis and Reporting:• Gather, analyze, and translate business requirements into technical specifications for BI solutions.• Develop, publish, and maintain interactive reports and dashboards using Power BI.• Create and manage data models that provide meaningful insights and drive business decisions.Data Integration and Transformation:• Extract, transform, and load (ETL) data from various data sources, including SQL Server, Excel, Azure, and other databases.• Utilize Power Query and DAX to perform data transformation and advanced calculations.Collaboration and Communication:• Collaborate with business users and stakeholders to gather requirements and ensure BI solutions meet their needs.• Provide training and support to end-users on Power BI functionalities and best practices.• Communicate complex data insights in a clear and concise manner to non-technical stakeholders.Performance Optimization and Maintenance:• Optimize Power BI reports and dashboards for performance and usability.• Monitor and troubleshoot data refresh schedules and performance issues.• Ensure data accuracy, integrity, and security in all BI solutions.Documentation and Compliance:• Document data models, processes, and procedures related to BI solutions.• Ensure compliance with data governance and security policies.

. Accounts Receivables:a. Invoicing:- Generate and send out invoices to customers.- Ensure accuracy and completeness of invoices.b. Credit Management:- Evaluate the creditworthiness of customers before extending credit.- Set credit limits and terms for customers.c. Collections:- Implement and manage a system for timely collection of payments.- Contact customers to follow up on overdue payments.- Resolve billing discrepancies and disputes.d. Cash Application:- Record and apply customer payments accurately.- Reconcile payments with outstanding invoices.e. Reporting:- Generate and analyze accounts receivable reports.- Provide regular updates to management on receivables status.f. Customer Relations:- Communicate with customers regarding billing issues and inquiries.- Maintain positive relationships to facilitate prompt payments.2. Accounts Payables:a. Invoice Processing:- Receive and review invoices from vendors.- Ensure accuracy and completeness of invoices.b. Approval Workflow:- Implement and manage a systematic approval process for vendor invoices.- Obtain necessary approvals before processing payments.c. Payment Processing:- Schedule and process payments to vendors.- Choose appropriate payment methods and ensure timely disbursements.d. Expense Management:- Monitor and control expenses within budgetary constraints.- Identify opportunities for cost savings and efficiency.e. Vendor Relations:- Communicate with vendors to address inquiries and resolve issues.- Establish and maintain positive relationships with key suppliers.f. Record Keeping and Reconciliation:- Maintain accurate records of all payables transactions.- Reconcile accounts payable transactions with financial records.g. Reporting:- Generate and analyze accounts payable reports.- Provide regular updates to management on payables status.3. Compliance:Ensure compliance with relevant accounting standards, regulations, and company policies

• Collaboration: Played a key role in data analysis for the Mining sector in South Africa and Sub-Saharan Africa.• Data Analysis: Use data analytics tools and techniques to analyze data and identify patterns, trends, and anomalies. This includes generating reports, dashboards, and data visualizations.• Data Gathering: Collect, extract, and transform data from various sources, such as databases, spreadsheets, and external data providers.• Query and Data Retrieval: Write SQL queries or use BI tools to retrieve data from databases and data warehouses.• Data Cleaning and Preparation: Clean, process, and structure data to ensure its accuracy and consistency. This often involves data cleansing, data normalization, and data integration.• Trend Analysis: Monitor and identify trends, opportunities, and potential risks that can impact the organization's performance and competitiveness.• Collaboration: Work closely with cross-functional teams, including IT, marketing, finance, and operations, to support their data-related needs.• Performance Monitoring: Track and assess the performance of business processes, products, and services, using historical data to identify areas for improvement.• Data Modeling: Develop data models and data structures to support analytical processes, including data warehouses, data marts, and data cubes.

• Report Generation: Create and maintain regular reports that summarize key performance indicators (KPIs) and provide insights into business Create and generate regular and ad-hoc • Collaboration: Work closely with cross-functional teams, including IT, marketing, finance, and operations, to support their data-related needs.• Query and Data Retrieval: Write SQL queries or use BI tools to retrieve data from databases and data warehouses.• Data Cleaning and Preparation: Clean, process, and structure data to ensure its accuracy and consistency. This often involves data cleansing, data normalization, and data integration.• Performance Monitoring: Track and assess the performance of business processes, products, and services, using historical data to identify areas for improvement.

• Managed financial forensics processes, ensuring compliance and risk mitigation.

• Responsible for financial management and reporting.

• Received a Long Service Award for dedication and commitment.• Property management i.e Rental and invoicing

• Managed creditor accounts and financial transactions.

• Contributed to intelligence gathering and analysis.

• Participated in audit engagements, gaining valuable experience in financial auditing.