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The role involves designing and developing data models, integrating heterogeneous data sources, performing advanced statistical analysis, and creating dashboards to support informed business decisions. The candidate will work closely with cross-functional teams to ensure data accuracy and deliver actionable insights.
Job Responsibility:
Design, develop, and test data models to import data from source systems based on project requirements
Analyze heterogeneous source data and write SQL/PySpark scripts to integrate data from multiple sources
Perform statistical analysis and interpret results to generate actionable insights for business decision-making
Conduct data mining to provide actionable data in response to evolving business requirements
Understand business needs and develop dashboards to meet those requirements
Adapt to changing business requirements and implement best practices in data analytics
Migrate data into standardized platforms (e.g., Power BI) and build critical data models to improve process performance and product quality
Own technical implementation and documentation associated with datasets
Provide updates on project progress, perform root cause analysis, and work on improvement areas (process, product quality, performance)
Deliver post-implementation support to ensure sustainable project benefits
Build strong relationships with cross-functional teams to ensure data accuracy, consistency, and timeliness
Independently manage stakeholder expectations and prioritize initiatives with minimal guidance
Mentor and guide peers and junior team members
Requirements:
Strong expertise in Data Analysis & Statistical Analysis
Proficiency in SQL and PySpark
Experience with advanced statistical techniques
Knowledge of SAP systems (SAP S4, SAP ECC T-Codes & Navigation)
Expertise in database development and troubleshooting (MS Fabric, SQL Server, SAP HANA, Azure Synapse)
Ability to gather project requirements and convert them into analytical and technical specifications
Excellent verbal and written communication skills for cross-functional collaboration
Expertise in Power BI for report and dashboard development
Proficiency in Office 365 tools
Nice to have:
Experience with Agile/SCRUM methodologies
Understanding of enterprise server architecture and cloud platforms
Ability to deliver training and presentations in areas of expertise
Good understanding of business processes, preferably in Manufacturing/Inventory Management domains