Aamir Iqbal

• Strategic Planning: Assist in developing and refining the organization's data strategy, including identifying opportunities to use data to drive business solutions.
• Data Management: Play a stellar role in managing the data tasks within Azure cloud, including purging, storage, and analytics. Lead a team in a SaaS environment, enhancing and supporting a core CRM system for clients.
• Data Collection: Gather data from primary or secondary data sources and maintain databases/data systems. Ensure data quality by cleaning and preprocessing data.
• Data Analysis: Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Data Visualization: Translate complex results from data analytics into understandable visual representations. Create dashboards and reports for internal stakeholders.
• Data-Driven Solutions: Apply findings from data analyses to design and implement effective strategies and solutions for business improvement. Rectifying data anomalies.
• Business Analysis: Analyze the business processes to identify and address operational, financial and technological risks. Review and propose measures for enhancing the processes.
• System Implementation & Support: Assist in the design and implementation of new systems to ensure data quality and accessibility. Provide technical support for existing systems, troubleshoot issues, and ensure system updates are carried out smoothly.
• Data Reporting: Formulate customized reports for clients by writing SQL scripts. Ensured all data reporting adhered to GDPR and compliance with EU data protection regulations. Transforing raw data into meaning and actionable business insights.
• Testing: Performed regression testing to safeguard data integrity prior to implementing changes or upgrades.
• Client Engagement: Manage client change requests and orchestrated system upgrades.
• Project Management: Direct the full lifecycle of software implementation projects for top-tier international retail organizations. Target the mini projects for clients, serving as the intermediary with development teams for tailored software features.
• Analytical Solutions: Configure and analyze client data to build functional, analytical solutions and intelligence reporting.
• ETL Operations: Perform ETL tasks, data conversions, manipulations, and migrations.

Assist in developing and refining the organization's data strategy, including identifying opportunities to use data to drive business solutions.
Manage the data tasks within Azure cloud, including purging, storage, and analytics.
Lead a team in a SaaS environment, enhancing and supporting a core CRM system for clients.
Gather data from primary or secondary data sources and maintain databases/data systems.
Ensure data quality by cleaning and preprocessing data.
Interpret data, analyze results using statistical techniques, and provide ongoing reports.
Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
Translate complex results from data analytics into understandable visual representations.
Create dashboards and reports for internal stakeholders.
Apply findings from data analyses to design and implement effective strategies and solutions for business improvement.
Rectifying data anomalies.
Analyze the business processes to identify and address operational, financial and technological risks.
Review and propose measures for enhancing the processes.
Assist in the design and implementation of new systems to ensure data quality and accessibility.
Provide technical support for existing systems, troubleshoot issues, and ensure system updates are carried out smoothly.
Formulate customized reports for clients by writing SQL scripts.
Ensured all data reporting adhered to GDPR and compliance with EU data protection regulations.
Transforing raw data into meaning and actionable business insights.
Performed regression testing to safeguard data integrity prior to implementing changes or upgrades.
Manage client change requests and orchestrated system upgrades.
Direct the full lifecycle of software implementation projects for top-tier international retail organizations.
Target the mini projects for clients, serving as the intermediary with development teams for tailored software features.
Configure and analyze client data to build functional, analytical solutions and intelligence reporting.
Perform ETL tasks, data conversions, manipulations, and migrations.
Set up and run the workshops and training sessions, followed by coaching for clients on new systems.
Accountable for rendering comprehensive post-implementation support and resolving client issues promptly.
Monitor and ensure compliance with data governance and data protection regulations.
Develop and implement security measures to safeguard information.

Executed software development lifecycle, ranging from concept to maintenance.
Handled documentation, system and user acceptance testing for software projects.
Performed data analysis, reporting, and SQL query creation with a solid grasp of SQL job functions.
Acted as an intermediary among stakeholders, developers, and support teams for retail software applications.
Contributed to design meetings with Architects and Business Intelligence Developers.
Tested and confirmed the accuracy of ETL processes that supplied data to dashboards and reports.
Managed stakeholder relationships, project prioritization, and phase planning with regular meetings for scope and review.
Implemented application enhancements, software updates, and design changes.
Allocated budgets, crafted project plans, and evaluated project risks with stakeholders.
Updated clients and stakeholders on progress and feature testing.
Maintained uninterrupted 'business as usual' support.

Launched and directed new client projects encompassing client engagement, requirements gathering, project planning, application testing, client acceptance, final sign-off, and handover.
Operated with XML data files and tailored interfaces.
Analyzed user needs, retrieved data from warehouses, transformed data into required formats, and generated relevant reports.
Delivered tier 1 and tier 2 application support for CRM systems to retail clients.
Examined the error logs to identify failure points and implemented data and application fixes.