Experience

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  HP

  • Worldwide Sales Operation Data Steward V (master level)

    • Nov 2021 - Jul 2023

    • Senior Data Steward, Subject Matter Expert, and trusted advisor within worldwide corporate IT.• Evolving the digital transformation of corporate IT into a more experience-driven organization.• Data product owner for worldwide account level data solution covering sales leads to channel partner reported data.• Develop and implement data quality measures for data products to identify data quality and accuracy issues.• Use Power BI for data visualization and data analysis.• Define data sourcing and sharing strategy and onboarding new data subjects into MS Azure, Snowflake, and Powe BI.• Performed in-depth data analysis to identify trends and patterns that led to actionable insights.• Managed large datasets by organizing, cleaning, and validating data to ensure accuracy and reliability.• Solved complex problems by critically analyzing information, developing innovative solutions.• Implemented and enforced data governance policies and procedures to maintain data integrity and compliance.• Supported sales operations by analyzing market trends, forecasting sales opportunities, and optimizing performance.• Demonstrated exceptional attention to detail in all aspects of work, ensuring accuracy and precision in data analysis and management.

  • Data Scientist IV (expert level)

    • Nov 2018 - Nov 2021

    • Trusted advisor for all questions regarding the indirect channel route to market.• Developed automated sales data model reducing refresh time by 70%.• Owner and administrator of automated channel data via SQL Server.• Enriched channel sales data with attributes from other disparate entities to provide greater granularity and deeper insights.• Provide insights into data using Snowflake, ThoughtSpot pinboards, Power Bi, predictive analytics, and what-if analysis.• Performed in-depth data analysis to uncover patterns, trends, and insights.• Created visually appealing data visualizations using Power BI to effectively communicate complex information.• Utilized statistical modeling techniques to analyze and interpret data.• Applied various big data technologies to manage and process large datasets.

  • Business Planning IV (expert level)

    • Dec 2015 - Nov 2018

    • Support Business Planning team by merging indirect and direct route to market transactions and providing visualizations using Power Bi and Tableau dashboards.• Provide baseline sales data for sales representative assignments and quota setting to individual Business Planners.• Provide data solutions for complex business scenarios, quarterly business reviews, and joint business planning.• Replicate Sales Compensation process, including revaluation calculations, to provide accurate and timely sales performance updates.• Design IT ticketing process for sales representatives to log disputes for compensation related discrepancies.• Developed and executed strategic plans to align business objectives with organizational goals.• Led and motivated cross-functional teams to achieve project milestones and deliver high-quality results.• Conducted financial analysis to assess the financial performance and profitability of the organization.

  • Operational Process Management Analyst IV (expert level)

    • Apr 2011 - Dec 2015

    • Senior Reporting Business Analyst for the Americas region (Canada, US, & Latin Americas).• Manage daily responsibilities of team ensuring data availability to stakeholders and customers for analytics and representation.• Implemented, developed, and supported SalesForce.com for sales lead generation and pipeline analytics.• Provide mentoring, customer service training, and data systems to internal teams and business units.• Assign and direct requests, balance workloads, ensuring the correct coverage and representation is available.• Perform data validations safeguarding data consistency and accurate data representation and remediation for reporting issues.• Represent channel sales as the subject matter expert and provide consulting to all business units.• Performed data analysis to identify patterns and trends, providing valuable insights for decision-making.• Ensured quality control by conducting rigorous testing and inspections to verify adherence to standards and guidelines.• Implemented process improvement strategies to streamline workflows and increase efficiency.• Monitored and analyzed performance metrics to assess progress and make data-driven recommendations for enhancement.