AGM - Data Analytics
Iadugs Open At a glance
Mid-level Data Analysis & BI role at Iadugs. Mumbai · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape India’s data strategy and architecture, including a data lake, warehouse, ETL pipelines and enterprise-system links
- Build analytics for business needs, improve current solutions and deliver timely insights on forecasting, pricing and channel performance
- Turn business leaders’ questions into analysis and recommendations on growth, customers, products and revenue
- Guide functional teams in using analytics, while aligning tools and standards with global teams
- Embed analytics in workflows and decision systems, working with the digital transformation team on Fabric and Azure solutions
What you bring
- You have five to ten years in data analytics, business intelligence or data architecture roles
- You hold a bachelor’s or master’s degree in computer science, data science, engineering, statistics or a related area
- You understand manufacturing, supply chain and sales analytics
Who this fits
This Mumbai role is onsite and suits someone ready to lead analytics strategy while partnering with business heads and functional teams. An MBA is preferred, and experience in electrical, industrial or FMCG sectors is an advantage.
From the employer
Legrand fosters an inclusive, innovative, and diverse environment where individuals can contribute meaningfully.
You will play a pivotal role in enabling Legrand India to become a data-driven, insight-led, and AI-enabled enterprise, shaping the future of our digital and business transformation
1. Data Strategy & Architecture
• Understand the current landscape and framework of Legrand India’s systems and data.
• Work with Digital Transformation Office in structuring the same and evolving the future frame work and system architecture.
• Define and execute the enterprise-wide data & analytics strategy under Legrand’s digital transformation roadmap.
• Build and govern a modern data architecture, including data lake on Fabric, data warehouse, ETL pipelines, and integration with enterprise systems (ERP, CRM).
• Establish best practices in data modelling, data quality, master data management, and governance.
2. Analytics Framework & Business Intelligence Solutions
• Study the business needs and build data analytics solutions using the existing tools and technologies.
• Deliver real-time and periodic insights using data analytics for business needs.
• Understand the current solutions and evolve and enhance them to give deeper insights to business teams.
• Implement advanced analytics solutions for forecasting, market intelligence, pricing, productivity, and channel insights.
3. Business Partnering & Decision Support
• Guide and train the key users from different functional domains in using data analytics.
• Engage with Business Heads to translate business needs into actionable analytics.
• Provide data-backed recommendations for GTM strategy, category growth, channel performance, NPI insights, customer segmentation, and revenue growth initiatives.
• Build strong relationships with global and corporate teams to align tools, models, and standards with Legrand Group’s global analytics direction.
4. Product & Innovation
• Drive digitalization of processes with analytics embedded into workflows and decision systems
• Work closely with Digital Transformation team to build analytics solutions using Fabric and Azure framework.
Education: Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Statistics, or related fields; MBA preferred.
▪ Experience: 5 - 10 years of experience in Data Analytics, BI, or Data Architecture roles.
▪ Good understanding of manufacturing, supply chain, and sales analytics; electrical/industrial/FMCG
Experience preferred and will be added advantage :-
▪ Hands-on expertise with:
• Power BI / Tableau
• SQL, Python/R
• Cloud platform Azure – most preferred
• Fabric framework – most preferred
• Gen AI frameworks (MS/AWS/Google etc) and their use for data analytics and deep diving
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