Enterprise Technology & Analytics Manager at Farahi Law Firm (Legal Management Group) (2025-05 – Present)
Lead the enterprise technology, automation, and analytics strategy for a rapidly growing law firm in California with a global client base.
- Developed and executed the organization's first enterprise-wide Data Strategy, establishing governance frameworks, standardized performance metrics, and privacy controls that enabled consistent, trusted decision-making across 10 operating companies.
- Partnered with senior executives and business leaders to transform workforce data into strategic business intelligence, enabling evidence-based planning, performance management, and organizational decision-making.
- Architected an enterprise analytics ecosystem delivering executive dashboards, predictive workforce insights, and operational performance reporting, significantly improving visibility from the executive level through frontline operations.
- Championed the digital transformation of HR operations by implementing intelligent reporting and workflow automation using Microsoft 365, Power BI, and Power Platform, reducing manual effort by over 1,200 hours annually while improving reporting accuracy and scalability.
- Led executive Monthly Business Reviews (MBRs), translating complex workforce and operational data into actionable business insights that informed strategic priorities, performance optimization, and continuous improvement initiatives across the enterprise.
Data Analytics Manager at Citadel Pacific Ltd. ROHQ (2024-04 – 2025-05)
Partnered with executive leadership to align data strategy, workforce analytics, and performance management with business objectives.
- Led a cross-functional data engineering team in consolidating global HR and operational data into a centralized enterprise Data Lake, enabling automated analytics, executive dashboards, and data-driven decision-making across global operations.
- Served as Scrum Master, establishing Agile delivery practices that accelerated project execution, strengthened stakeholder collaboration, and improved cross-functional team performance.
- Led workforce planning and cost optimization initiatives by developing predictive forecasting models that improved crew planning accuracy and reduced operational inefficiencies.
- Established an enterprise HR data governance framework aligned with GDPR, implementing data ownership, access controls, quality standards, and governance practices to ensure compliance and data integrity.
- Partnered with global Recruitment, Crewing, Payroll, and Workforce Planning leaders to standardize enterprise performance reporting and strengthen data-driven operational and workforce decisions.
Data Lead at Maersk Filipinas Crewing Inc. (2021-06 – 2023-06)
Led cross-functional data engineering teams to deliver scalable analytics, automation, and enterprise reporting solutions.
Senior Analyst Data Engineer at Collabera Digital (Johnson and Johnson) (2023-06 – 2024-04)
Developed scalable data pipelines and reporting solutions that improved operational efficiency and enabled data-driven decisions.
- Optimized enterprise data pipelines in Cloudera using advanced SQL, significantly accelerating data refresh cycles and enabling faster access to workforce insights for Global Shared Services.
- Redesigned performance dashboards to enhance KPI visibility, strengthen data accuracy, and support timely operational decision-making across HR functions.
- Automated employee performance reporting from monthly to daily cadence, directly contributing to sustained SLA achievement and operational discipline.
- Led the "Reimagine Project," developing interactive, drill-down analytics that identified service delivery gaps, eliminated 3,210 minutes of manual reporting time, and empowered leaders with real-time, actionable insights.
Business Analyst at APC by Schneider Electric (2020-06 – 2021-05)
Partnered with business units to optimize processes through data analytics, workflow automation, and digital transformation initiatives.
- Designed a web page that allows users to access essential links, tools, video training, and key contacts for business units, including Human Resources, Safety & Cyber Security, Customer Experience, Tendering & Delivery, Operations Efficiency, and Lean practices.
- Reduced the time required to create the Worldwide Installed Base report by 60%, from 40 hours to 16 hours, through automation of the consolidation process using Alteryx using data from Salesforce.
- Successfully delivered BCP Team Project Phase 1 Sprint #1, achieving a 74.4% reduction in Average Cycle Time, from 10,118 minutes per month (21.1 working days) to 2,265 minutes per month (4.7 working days) for 14 out of 17 targeted reports in 2021.
Sales and Marketing Analyst II at Emerson Electric Asia Ltd. ROHQ (2017-06 – 2020-03)
Enabled data-driven sales and marketing decisions through reporting automation, process optimization, and business analytics.
- Led the automation project for one of the major customers of Emerson Commercial Residential Solutions - Walmart. This was also considered during the top management meeting by the Vice President & General Manager of the business unit.
- Initiated the process improvement project for the Customer Maintenance Team that helped reduce the turn around time from an average of 7 day/s to 1 day/s.
- Conserved 62.5% of processing time in creating Open Order report for OEM Refrigeration customers from a standard of 120 minutes to 45 minutes by creating actionable information in DOMO.
- Eliminated the time consumed in creating Air Conditioning Business Unit dashboard and analysis through automation in DOMO.
- Invented a tool that helps the Supply Chain and Logistics Department from USA in the allocation of different products by the Refrigeration Business Unit.
- Developed a Customer Profile with consolidated information, such as customer information, sales and forecast, and inventory tracker.
- Facilitated and guided the OEM Customer Service team in standardizing and improving their processes.
- Facilitated an MS Power BI and DOMO training for managers and mid-senior level staff.