Business System Data Analyst
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I am an young business professional who is a highly motivated self-starter with a passion for learning. Results-driven professional with 8+ years of experience. A skilled data analyst with expertise in analyzing complex datasets, generating analytical insights, and designing impactful visualizations and reports.
Proficient in implementing effective data governance and metadata risk management strategies to ensure data accuracy and integrity. Known for leveraging advanced data analytics techniques to drive data-driven decision making and optimize business performance. Proven track record of delivering actionable recommendations and contributing to data-centric initiatives for organizational growth.I find joy and fulfillment in working in a collaborative, dynamic environment where I can contribute to the growth of my company by understanding how the work that I do helps my team and the company meet their goals!
Company culture is extremely important as I believe work and happiness can exist together. I am proud of my ability to use my interpersonal and communication skills to establish a rapport with others, with all levels within the organization and understand requirement and expectations. I bring creativity and innovative thinking to my work.
Experience in Project Documentation, financial domain, experience with banking ,Date governance risk management Project Coordination, Business Analysis, Microsoft Office, SharePoint, QuickBooks, HTML, CSS, Java ,JavaScript, react js ,restful web service's,soup web service , InvoiceSherpa, Xero,, Event Management, Planning
Data Analyst | Data Steward | Data Governance & Risk Management | Metadata Management | Process Measurement |Business System Analyst
Manhattan Active Omani,
Neiman Marcus Group's (NMG) Order Management Systems (OMS), overseeing inventory availability to eCommerce and point of sale (POS) systems as well as order fulfillment flow across an omnichannel environment
Order Allocation Days (Backlog Aging)
Knowledge of REST APIs and GraphQL for data integration.Learn about data quality, security, and compliance standards like GDPR and CCPA.
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ETL Tools: Familiarity with tools like Apache Airflow, Talend, or
Informatica.
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Big Data Frameworks: Knowledge of Apache Spark and Hadoop for large-
scale data processing.
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Data Warehousing: Understanding of platforms like Snowflake, Amazon
Redshift, or Google BigQuery.
