• Engaged closely with key stakeholders to tackle intricate business challenges, devising strategic solutions that deliver actionable insights derived from data analytics. Summarized results into succinct presentations, facilitating informed decision-making for senior management.• Analyzed complex data from diverse business sources within Nordstrom, crafting interactive Tableau and Power BI reports to showcase key performance indicators.• Implemented automation for existing data collection tools, leveraging SQL and Tableau, resulting in a significant reduction of manual efforts, improved operational efficiency, and successful resolution of critical business issues.• Contributed to Business Intelligence reporting, optimized database production processes, and conducted ad hoc analyses to address dynamic business needs across various Nordstrom platforms.

• Collaborated with business users and clients to elicit new requirements, comprehend existing changes, conduct impact analyses, and actively participate in the functional study of the application.• Executed regular data validation tasks using intricate SQL queries within the Teradata Studio and Hadoop environment, ensuring data accuracy and integrity.• Implemented SQL queries and Python scripts for a chatbot, facilitating seamless extraction of required data from Oracle databases using Toad.• Contributed significantly to the development of mappings, mapplets, and reusable code utilizing Informatica Power Center. Played a key role in creating sessions and workflows (jobs), and conducted thorough unit testing to ensure the reliability of the developed code.• Engaged in performance tuning initiatives, and monitored production jobs and ETL workflows to enhance overall system efficiency.

• Supported the Customer Success team by conducting data analytics focused on customer retention, churn analysis, and identification of key performance indicators for customer health within the product. Utilized Salesforce, R, MS Excel, and SQL to extract, analyze, and present meaningful insights.• Effectively managed JIRA tickets to generate comprehensive quantitative reports based on large-scale data, uncovering growth opportunities, and addressing customer pain points through data-driven decisions.• Implemented various modeling techniques, including Regressions, Decision Trees, and Random Forest models, resulting in a remarkable 10% reduction in customer churn and a substantial 15% increase in the customer retention rate.

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