Yazeed Farghal

• Manage & conduct Data Analytics, BI Strategy, Data Modeling & ETL pipelines for the eCommerce platform (Tamatem Plus) & the leading app products (VIP Baloot & Jalsat).

• Perform advanced data analysis & build complex reporting dashboards across the domains of marketing, users’ engagement & funnels, sales, finance, inventory management, data integrity and more.

• Monitor products & validate app features release performance, define KPIs and provide recommendations through A/B Testing and various statistical analysis techniques.

• Carry out all initiatives & projects in alignment with key stakeholders such as Product Managers, C-Suite Executives, Marketing, Sales and DevOps.

Achievements:
➢ Successfully built a complete Users Growth Model, along with its ETL data pipeline; employing Markov Chains to analyze user engagement through metrics like NURR, MAU loss rate, and reactivation rate, yielding deep insights to optimize users’ growth strategy.

➢ Implemented a BI Strategy to enhance data reporting & product goal setting by building high visibility Dashboards & Reports, defining success KPIs, and guiding Marketing efforts.

➢ Carried out an in-depth funnel analysis for the leading products across web & app analytics, resulting in identifying critical bottlenecks in users’ journey, which led to implementing high impact features & design enhancement.

➢ Executed Data Modeling & Mapping into an optimized physical model and supervised the ETL pipeline for the growing eCommerce platform, Tamatem Plus. This project has greatly elevated the platform’s Data Analytics & BI capabilities.

➢ Discovered major data integrity issues within multiple products, leading to a fundamental enhancement in data quality and the detection of fraud incidents.

➢Established documentation & provided colleagues with instructional guidance for new data analytics tools & projects across the company.

• Built and maintained complex dashboards backing mainly the Product Support Engineering team.

• Applied deep dive Data Analysis across products, engineering, customer service, & web analytics realms.

• Utilized Data ETL & Modeling to build datasets from multiple sources, and supported data validation efforts.

Achievement:

➢ Addressed a significant BI challenge faced by DirecTV by building an integrated, highly visible dashboard to monitor the real-time impact of software downloads on customer devices. This involved consolidating engineering data, customer information, and software download schedules into one dataset through an ETL pipeline. This initiative greatly boosted the precision of anomaly detection, reduced engineering efforts, enhanced data visibility for senior management, and ultimately improved customers’ experience.

➢ Managed reporting for product launches across stages by aggregating engineering, customers’ support & information data through an ETL pipeline in order to create monitoring reporting dashboards, where my reports were delivered to management & product engineers, facilitating informed decision-making throughout the launch process.

➢ Applied A/B testing and statistical data analysis with Google Analytics to validate webpage design decisions.

• Analyzed data to draw actionable suggestions supporting Google's goals in the online advertisements department.

• Supported projects forward with an emphasis on maintaining quality assurance of advertisement data.

Achievements:

➢ Attained 97+% quality score on all analytical reports, validating decisions about content both locally and globally.

Manage and conduct Data Analytics, BI Strategy, Data Modeling, and ETL pipelines for the eCommerce platform Tamatem Plus and the leading app products VIP Baloot and Jalsat.
Perform advanced data analysis and build main reporting dashboards across the domains of marketing, users’ engagement and funnels, sales, finance, inventory management, data integrity, and more.
Monitor products and validate app features release performance, define KPIs, and provide recommendations through A/B Testing and various statistical analysis techniques.
Carry out all initiatives and projects in alignment with key stakeholders such as Product Managers, C-Suite Executives, Marketing, Sales, and DevOps.
Successfully built a complete Users Growth Model, along with its ETL data pipeline, employing Markov Chains to analyze user engagement through metrics like NURR, MAU loss rate, and reactivation rate.
Implemented a BI Strategy to enhance data reporting and product goal setting by building high visibility Dashboards and Reports, defining success KPIs, and guiding Marketing efforts.
Carried out an in-depth funnel analysis for the leading products across web and app analytics, resulting in identifying critical bottlenecks in users’ journey, which led to implementing high impact features and design enhancement.
Executed Data Modeling and Mapping into an optimized physical model and supervised the ETL pipeline for the growing eCommerce platform, Tamatem Plus.
Discovered major data integrity issues within multiple products, leading to a fundamental enhancement in data quality and the detection of fraud incidents.
Established documentation and provided colleagues with instructional guidance for new data analytics tools and projects across the company.

Built and maintained complex dashboards backing mainly the Product Support Engineering team.
Applied deep dive Data Analysis across products, engineering, customer service, and web analytics realms.
Utilized Data ETL and Modeling to build datasets from multiple sources, and supported data validation efforts.
Addressed a significant BI challenge faced by DirecTV by building an integrated, highly visible dashboard to monitor the real-time impact of software downloads on customer devices.
Consolidated engineering data, customer information, and software download schedules into one dataset through an ETL pipeline.
Managed reporting for product launches across stages by aggregating engineering, customers’ support, and information data through an ETL pipeline to create monitoring reporting dashboards.
Delivered reports to management and product engineers, facilitating informed decision-making throughout the launch process.
Applied A/B testing and statistical data analysis with Google Analytics to validate webpage design decisions.

Analyzed data to draw actionable suggestions supporting Google's goals in the online advertisements department.
Supported projects forward with an emphasis on maintaining quality assurance of advertisement data.
Attained 97+% quality score on all analytical reports, validating decisions about content both locally and globally.

Carried out sales data analysis, inventory categorizing, and lead generation in the Bay Area.
Collaborated with senior stakeholders and internal departments to track market trends during the pandemic.
Generated data to guide strategy changes during the pandemic, resulting in a significant increase of sales.
Improved new customer acquisition process via outreach and walking customers through products.