Data Analyst with 2.9 years of experience in Regulatory and Operational Control, specializing in ESG
data validation, compliance, and process automation. Strong expertise in Python, SQL, Power BI, and
workflow automati…
Data Analyst with 2.9 years of experience in Regulatory and Operational Control, specializing in ESG
data validation, compliance, and process automation. Strong expertise in Python, SQL, Power BI, and
workflow automation to optimize operations and ensure adherence to global sustainability and regulatory
standards. Skilled in data governance, risk assessment, controls testing, and regulatory reporting, with a
proven ability to collaborate with cross-functional stakeholders to strengthen compliance, improve efficiency,
and support informed decision-making.
Performed data quality validation and back-to-source checks on large-scale ESG datasets, ensuring accuracy, completeness, consistency, and regulatory compliance across millions of records.
Identified and monitored Critical Data Elements (CDEs) to maintain data integrity standards and support data governance frameworks across ESG regulatory reporting pipelines.
Designed and implemented a data quality framework with sampling-based checks, threshold-based accuracy validation, and trend analysis — reducing error rates and improving data reliability.
Conducted structured root cause analysis (RCA) on recurring data quality defects, delivering corrective action plans that measurably reduced defect recurrence across ESG datasets.
Developed Python (Pandas) scripts to automate data parsing, cross-field validation, transformation, and exception reporting — reducing manual effort by 40% and improving turnaround time.
Optimized SQL queries for data extraction, validation, and reconciliation across relational databases to support regulatory reporting and audit requirements.
Built Power BI dashboards integrated with SharePoint for real-time QC metric tracking and workflow approvals for ~120 analysts — reducing review turnaround time by 20%.
Designed KPIs to monitor data quality health, defect rates, and issue resolution SLAs; tracked remediation progress and reported trends to stakeholders and leadership.
Identified control gaps across regulatory data pipelines and provided recommendations aligned with the data strategy, strengthening audit readiness and compliance posture.
Logged, tracked, and retested defects in JIRA with detailed reproduction steps, severity classifications, and test evidence (screenshots, logs, data extracts) across QA and UAT cycles.
Collaborated with engineering and product teams during UAT/QA testing — developed test cases, executed functional and regression tests, and provided formal sign-off for production releases.
Created and maintained SOPs using SIPOC methodology, standardizing quality control procedures and reducing process variability across compliance and data quality operations.
Implemented ETL transformations using Power Query and automated approval/notification workflows using Power Automate, reducing manual reporting effort and improving operational efficiency.
Conducted trend analysis on data quality metrics over time, identifying systemic issues early and presenting insights to cross-functional stakeholders for data-driven decision-making.
Supported regulatory reporting operations by validating datasets against compliance rules, flagging discrepancies, and maintaining audit-ready documentation for internal and external reviews.
Performed data quality validation and back-to-source checks on large-scale ESG datasets, Identified and monitored Critical Data Elements (CDEs) to maintain data integrity standards, Designed and implemented a data quality framework with sampling-based checks, Conducted structured root cause analysis (RCA) on recurring data quality defects, Developed Python (Pandas) scripts to automate data parsing and transformation, Optimized SQL queries for data extraction, validation, and reconciliation, Built Power BI dashboards integrated with SharePoint for real-time QC metric tracking, Designed KPIs to monitor data quality health and issue resolution SLAs, Identified control gaps across regulatory data pipelines, Logged, tracked, and retested defects in JIRA, Collaborated with engineering and product teams during UAT/QA testing, Created and maintained SOPs using SIPOC methodology, Implemented ETL transformations using Power Query, Conducted trend analysis on data quality metrics over time, Supported regulatory reporting operations by validating datasets against compliance rules
Automated reporting processes and workflows, reducing manual effort and improving team
productivity by ~20%.Designed and deployed a Power BI dashboard integrated with SharePoint, streamlining approval
workflows for ~120 analysts and saving review time significantly.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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