Dipu Joy

Dipu Joy

Sr. Manager Data Analytics and Operations @ Philips

About

Experienced Data leader having spearheaded data analytics and transformation projects in domains like health care, shipping/logistics and products. Skilled in Python, SQL, Data Management, Agile Methodologies, Team Building, and Public Speaking. Strong information technology professional with a Global certificate in data science focused in Data Modeling/Machine learning from Accredian. Experience in managing technical teams focused on master data management, dashboarding and observability

Country

India

City

Greater Bengaluru Area

Industry

Information Technology & Services

Skill

ServiceNow, SAP BI, IT Business Analysis, Data Loading, Statistical Data Analysis, Data Services, Agile & Waterfall Methodologies, Data Visualization, Microsoft BI Suite, Data Management, Microsoft Office, Customer Service, Microsoft Excel, Leadership, Microsoft Word, PowerPoint, English, Team Building, Public Speaking, Data Analysis

Experience

Philips

Sr. Manager Data Analytics and Operations

Philips

LinkedIn
2023-4 - 2025-5 · 2 yrs 2 mos

Bengaluru, Karnataka, India

• Served as Technical Lead for developing centralised monitoring and observability solution for Philips IT, resulting in reduction of critical incidents . • observability data from multiple systems was captured in elastic search and eventually reported on Grafana dashboards, providing a birds eye view to service owners • Implemented instant alerts and auto-fixes for common issues, significantly reducing downtime and critical incidents. • Served as technical lead and product owner for Philips IT master data which was critical for daily operations. Achieved efficiency and cost savings of ~ 80k Euros by bringing efficiency in infra

Philips

Lead Data Analyst

Philips

LinkedIn
2018-11 - 2023-4 · 4 yrs 6 mos

Bengaluru

• Led the design and implementation of a centralized data repository, automating data ingestion from multiple sources to improve data consistency, accessibility, and governance • Streamlined data management processes through automation of legacy reporting workflows, enhancing efficiency and reducing manual effort • Conducted monthly IT user sentiment analysis using text mining and NLP techniques to identify key pain points and drive targeted service improvements • Delivered actionable insights to leadership that contributed to measurable improvements in user satisfaction and service performance • Developed interactive Power BI dashboards and analytics solutions to enable real-time, data-driven decision-making for stakeholders • Partnered with cross-functional teams to enhance user experience through scalable analytics and continuous process optimization

A.P. Moller - Maersk

Data Tech Lead

A.P. Moller - Maersk

LinkedIn
2015-5 - 2018-10 · 3 yrs 6 mos

Chennai

• Led reporting modernization initiatives, automating 100+ legacy reports to streamline operations, improve accuracy, and significantly reduce manual effort • Designed and delivered interactive BI dashboards in an Agile environment, enabling real-time, data-driven decision-making for business stakeholders • Leveraged Python-based analytics to explore data, identify trends, and generate actionable insights that supported operational and performance improvements • Partnered with cross-functional teams to enhance analytics adoption and strengthen overall reporting capabilities across the organization

Dell Technologies

Senior Business Analyst

Dell Technologies

LinkedIn
2003-3 - 2015-5 · 12 yrs 3 mos

bangalore

• Delivered actionable performance insights and executive reporting to senior leadership, enabling informed strategic and operational decisions • Integrated and centralized data from multiple enterprise systems into SQL Server, establishing a reliable foundation for advanced analytics and statistical modeling • Designed and developed dynamic dashboards in SAP BI and Excel, improving data accessibility, visualization, and stakeholder adoption • Optimized data management and reporting processes to enhance accuracy, consistency, and turnaround time across business functions • Collaborated closely with business and analytics teams to translate data into meaningful insights that drove measurable performance improvements

Education

Loyola College

Loyola College

LinkedIn

Mathematics

1998 - 2001 · 3 yrs
Accredian

Accredian

LinkedIn

Data Modeling/Warehousing and Database Administration

2019 - 2019

Dipu Joy's Contact Information

Email

******@***.com

Phone

(**) *** ****

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