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Job Description & How to Apply Below
Welspun World is one of India's fastest growing global conglomerates with businesses in Home Textiles, Flooring Solutions, Advanced Textiles, DI Pipes, Pig Iron, TMT bars, Stainless Steel, Alloy, Line Pipes, Infrastructure & Warehousing.
At Welspun, we strongly believe in our purpose to delight customers through innovation and technology, achieve inclusive & sustainable growth to remain eminent in all our businesses. From Homes to Highways, Hi-tech to Heavy metals, We lead tomorrow together to create a smarter & more sustainable world.
Job Description:
Power BI, + years Data Data Analyst Lead (10
Analyst experience with 5 years hands-on Power BI)
Candidate shall have over 10 years of experience in data analytics with 5 years of hands-on expertise in Power BI in building and managing advanced BI solutions. The candidate should have a people management experience along with deep understanding of data visualization, report/dashboard creation & proficiency in Power BI. Candidate will collaborate with functional teams to understand business requirements, manage data models & deliver insightful analytics solutions.
Candidate should have good understanding of data management, analytics frameworks & cloud-based solutions. This role will involve leading data projects, designing cloud-based data solutions & collaborating with functional teams to deliver actionable business insights
Responsibilities:
Power BI Development
- Lead the development of Power BI dashboards, reports, and visualizations to provide actionable insights and support business decision-making
- Collaborate with business stakeholders to gather requirements, identify KPIs & translate them into effective Power BI solutions
- Design and optimize data models to ensure efficient data flow and report performance
- Proficiency in DAX and M language for Power Query, R Programming.
- Experience in managing Power BI deployments, data gateways, and work spaces.
- Expertise in creating and optimizing data models for large datasets.
- Ensure data accuracy, integrity & security through proper governance and monitoring of Power BI environments. Stay updated with the latest Power BI features, industry trends & best practices to continuously improve reporting capabilities.
Data Integration
- Connect Power BI to various data sources, including databases (SQL Server, open source database etc), APIs, SAP and other data sources.
- Exposure on design and implementation of data analytics projects using Azure data platform (Azure Data Lake, Azure Synapse, Azure SQL).
- Hands on experience on developing and managing data pipelines using Data Factory and ensure seamless data integration from multiple sources
- Exposure on utilizing advanced analytics techniques, machine learning & statistical modelling to derive insights from large datasets
- Experience with data integration, and pipeline automation in Azure environment
- Familiarity with data warehousing concepts, ETL processes, and cloud-based data platforms (preferably Azure).
- At least one Azure-based data architecture implementation
- Stay updated with the latest Azure features and updates to optimize and enhance the data architecture.
Key
Skills & Qualifications
- B.E/B.Tech in Engineering or MCA along with certifications in Data Science, Statistics
- 10+ years of experience in data analytics, business intelligence or data science with hands-on experience in Azure-based data services.
- 5+ years of hands-on experience with Power BI, including creating complex dashboards, data visualizations, and interactive reports.
- Strong problem-solving skills with the ability to troubleshoot complex data issues.
- Excellent communication and stakeholder management skills, with the ability to translate business needs into technical solutions.
- Manage and guide a team of Power BI developers and analysts, ensuring best practices in data visualization, modelling & report development
Preferred Qualifications
- Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate, or Azure Solutions Architect Expert)
- Knowledge of other BI and data visualization tools (Tableau, Qlik, etc)
- Experience with AI/ML frameworks within Azure (Azure Machine Learning)
- Experience in construction domain is a plus
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