Job Title-Global Master Data-Insights and Visualization Manager
About the Role :
- Responsible for building and automating Power BI dashboards and analytics solutions to support Global Data Management across multiple master data domains.
- Use Microsoft Power Platform (Power BI, Power Automate, Power Apps) to create scalable, automated solutions that simplify reporting and decision-making.
- Integrate and manage data pipelines via Microsoft Azure for SAP S/4HANA and SaaS applications such as Salesforce, Oswald, OneTrust, Anaplan, and others.
- Deliver advanced data analysis, visualization, and analytics models to highlight trends, monitor data quality, and drive business outcomes.
- Act as a data engineering specialist ensuring efficient ETL/ELT processes, high-quality data, and performance-optimized reporting.
- Drive innovation in reporting and analytics by applying advanced visualization techniques, predictive models, and automation opportunities that improve decision-making across global data management.
- Support global transformation initiatives by aligning BI and automation solutions with the enterprise data strategy, ensuring scalability, compliance, and business impact across functions and markets.
Key Responsibilities
- Design, build, and optimize Power BI dashboards to deliver business-critical insights across global data domains.
- Develop automation workflows using Power Automate and custom solutions with Power Apps to reduce manual effort.
- Build and maintain data pipelines (ETL/ELT) to integrate data from SAP S/4HANA, Salesforce, Oswald, One Trust, Anaplan, and other SaaS platforms.
- Partner with Data Engineers, Analysts, and business teams to define KPIs, metrics, and reporting frameworks for Customer, Vendor, Product, Material, and other Master Data domains.
- Ensure data accuracy, standardization, and quality across reporting layers.
- Apply advanced data analysis techniques to highlight exceptions, trends, and improvement opportunities.
- Implement data governance and security best practices in BI and automation solutions.
- Train and support business users on self-service BI using Power BI and Power Platform.
- Continuously explore and implement new features of Microsoft Power Platform to drive innovation.
- Collaborate with cross-functional teams to standardize reporting frameworks and visualization guidelines, ensuring consistency across global dashboards.
- Monitor dashboard adoption, usage, and user feedback, continuously improving performance, usability, and business relevance.
- Partner with IT and security teams to ensure compliance with data privacy, security, and regulatory requirements in all BI and automation solutions.
Stakeholder Management and key interfaces:
- Reports into Head of Global Master Data Quality & Governance.
- Collaborates with Global Process Owners, Governance and Process team
- Interfaces with cross-functional stakeholders across Finance, Supply, Commercial, and Technology functions.
- Engages with SaaS product owners and external service providers for solution delivery.
Skills and Experience
- 8+ years of experience in BI, Data Engineering, or Analytics roles.
- Strong expertise in Power BI (DAX, data modeling, performance tuning, visualization best practices).
- Hands on experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) certification preferred.
- Proven experience working with SAP S/4HANA and SaaS applications (Salesforce, Oswald, OneTrust, Anaplan, etc.).
- Strong knowledge of Microsoft Azure, SQL, ETL/ELT pipelines, and cloud data platforms.
- Good understanding of data management principles and governance frameworks.
- Ability to translate business requirements into clear, insightful BI solutions.
- Experience in FMCG/CPG or other global enterprises preferred.
Professional Qualification / Experience
- Bachelors/masters degree in computer science, Information Systems, Data Analytics, or related field.
- Microsoft certification in Power BI or Power Platform desirable.
- Proven track record of delivering automation-driven BI solutions at scale.
