Data Analyst with 5+ years of professional, production experience building and maintaining dashboards in Amazon QuickSight, alongside advanced Excel and SQL, to support data-driven decisions for a large organization. I m…
Data Analyst with 5+ years of professional, production experience building and maintaining dashboards in Amazon QuickSight, alongside advanced Excel and SQL, to support data-driven decisions for a large organization. I manage data across multiple systems and formats, ensuring accuracy and efficiency in fast-paced, technology-driven operations, and I design and own ETL pipelines that pull from warehouse systems and APIs. I build clear visualizations and reports that translate raw data into insights for stakeholders, and I champion data governance and quality, having authored guidelines adopted organization-wide. I use Python for deeper analysis and automation, and as technical consultant and developer on a team-wide automation program, I built the scripts that cut a recurring manual process by 83% and save approximately $30,000 annually. I document processes and systems thoroughly so others can maintain and build on my work, and I communicate findings clearly to both technical and non-technical stakeholders. I don't have hands-on experience with SharePoint or iCIMS specifically, and Google Sheets is not confirmed in my toolkit though my Excel skills are strong — but QuickSight, dashboards, data management, and accurate, efficient reporting are exactly what I do daily. IBM-certified in Data Analytics (Excel, SQL, Python, dashboards).
<p>Own analytics, reporting, and automation solutions end-to-end for a large, global operations organization — from requirements gathering and scoping through building, delivery, stakeholder communication, and ongoing maintenance and debugging<br>
Serve as the team's go-to technical consultant for analytics and automation solutions, advising stakeholders across program management, engineering, and operations<br>
Design and ship agentic AI solutions that automate real operational workflows, owning each agent's full lifecycle from scoping and design through delivery and maintenance<br>
Lead project management for a team-wide technology integration initiative, coordinating timelines, deliverables, and stakeholders across teams<br>
Build and maintain dashboards (Amazon QuickSight) and SQL-based reporting against Amazon Redshift, including scheduled queries and alerts<br>
Hold technical support office hours for the team, providing troubleshooting, review, and consultation on issues related to ETL, SQL, automation solutions, and Amazon's ontology/knowledge graph system</p>
<p>Owned and built analytics solutions and reports for the team, turning raw data into dashboards and insights that leadership relied on<br>
Designed and owned ETL pipelines processing large-scale data across multiple formats (JSON, CSV, tables, Excel), pulling from warehouse systems (Amazon Redshift) and APIs<br>
Delivered technical training and documentation adopted into official onboarding materials<br>
Held office hours for Support Engineers and Data Associates on the team to troubleshoot and root-cause issues in Amazon's ontology/knowledge graph system<br>
Owned dashboards (Amazon QuickSight) and reporting pipelines used daily by leadership, significantly reducing processing time<br>
Contributed to a team automation improvement program as a reviewer and consultant during brainstorming and review sessions — helping identify root causes and evaluate potential solutions — then developed and implemented several of the automation scripts adopted team-wide, using JavaScript and Tampermonkey (self-taught, with AI-assisted development), replacing a manual, vendor-dependent process and cutting data-collection time by 83% (from 2 hours to 20 minutes per 100 prompts) while saving approximately $30,000 annually<br>
Designed and built the team's monthly trending dataset pipeline, integrating LLM-based processing to cut monthly dataset processing time by 51% and raise prompt refresh coverage from 20% to 75%<br>
Built automation solutions using Python and JavaScript (self-taught and AI-assisted/"vibe-coded" development), including HTML-based interfaces, cutting data-collection time by over 80%</p>
<p>Selected to lead dashboard development (Amazon QuickSight) and reporting infrastructure for an international operations team<br>
Restructured a core ETL pipeline and its SQL-based reporting, significantly cutting runtime and improving reliability<br>
Built proactive monitoring dashboards and alerting, shifting the team from reactive to proactive issue detection<br>
Provided technical support for Alexa's knowledge graph system and ontology for the Alexa knowledge domain, maintaining and troubleshooting data structure, content, semantic, and ontological issues<br>
Held office hours for Support Engineers and Data Associates on the team to troubleshoot and root-cause issues in Amazon's ontology/knowledge graph system</p>
<p>Provided technical support for Alexa's knowledge graph system and ontology for the Alexa knowledge domain and semantic engineering, maintaining and troubleshooting data structure, content, semantic, and ontological issues<br>
Held office hours for Support Engineers and Data Associates on the team to troubleshoot and root-cause issues in Amazon's ontology/knowledge graph system<br>
Supported dashboard building and reporting for team operations<br>
Built foundational data analysis and reporting skills supporting day-to-day operational decision-making</p>
<p>Localized and implemented content into Alexa's knowledge graph system for the Arabic market, supporting content accuracy and consistency</p>
<p>Built Power BI dashboards and reports for freelance clients, including DAX measures, calculated fields, and star schema data modeling<br>
Automated recurring reporting and data-entry tasks using VBA/Macros and Power Query</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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