Mohammed Almohanna

Analyze data to identify insights, opportunities, and areas for improvement within the target segment.
• Provides management with accurate reports, regarding all aspects of Strategic Planning, along with conclusions and recommendations.
• Provide recommendations to the Head of Segments based on data-driven insights and performance analysis.
• Developed and delivered BI reports to aid in decision-making and supported business owners and stakeholders in their projects by building dashboards and creating reports.
• Handle and coordinate with IT department for any projects\initiative related to segmentation, data files and performance dashboards.
• Develop & manage product necessary MIS in coordination with respective units.
• Analyze financial performance, including revenue, expenses, and profitability, and provide recommendations for improvement.
• Build a strong local talent pipeline for future business growth and continuity. And coach direct reports and key talents to deliver on individual performance.

Manage and monitor reporting and analysis of user behavior data, digital sales, customer acquisition, customer servicing data, connecting back-end customer database results to site and app performance.

Leverage industry research and competitive data to generate insights and recommendations.

Ensure accuracy of results and analytics methods through testing and validation of underlying report data.

Prepare tracking and analysis artifacts and implementation of solutions.

Support in driving solutions design and articulate analytics architecture solution option to product owners and business partners.

Building Dashboards from scratch with critical insights to help the decision maker.

Support projects with analytics - building dashboards, creating Reports
Building analytical (data science, data engineering, data visualization) skills - programming in Python, introducing new visualization forms.

Analyzing data using statistical techniques and providing reports.
Developing and implementing databases and data collection systems.
Filtering and cleaning data.
Working with management to prioritize business and information needs.
Using a a lot of tools that helps in analyzing step, like SQL, Microsoft Excel, Tableau, Microsoft Power BI

Identify valuable data sources and automate collection processes.
Undertake preprocessing of structured and unstructured data.
Analyze large amounts of information to discover trends and patterns.
Help to build predictive models and machine-learning algorithms.
Present information using data visualization techniques.
Working with R, SQL and Python