Key responsibilities
Stakeholder engagement & management (Regional/Opco business functions including sales, finance, marketing, supply chain and shared services/Opcos/Global) for requirement gathering & finalization, dashboard design, status updates, business signoffs etc.
Be responsible for project and task prioritisation and capacity planning.
Gather and analyse data to provide insights and recommendations to various key stakeholders across the organisation.
Use different analytics techniques such as descriptive reports, diagnostic dashboards, machine learning and predictive modelling to provide deeper insights and recommendations to solve critical business problems.
Develop and maintain data models and schemas that support efficient querying and analysis of various data sources.
Develop and maintain dashboards and reports to effectively communicate insights to stakeholders.
Develop insightful business analyses, that provide measurable value, business process improvements and solve challenging business problems.
Use design-thinking processes to develop analytics assets for business consumption.
Work with various internal teams, including data management, to ensure data quality and accuracy by conducting data validation, cleansing, and enrichment processes.
Qualifications/ Experience / skills required
Exposure with Microsoft BI Stack (SQL Server DB, SSIS, SSAS)
Exposure with Relational Database Management Systems (Eg: SQL Server, MySQL, Oracle DB).
Exposure with Data Transformation, Cleansing and Ingestion using the tools like SQL Server Integration Services, Azure Data Factory.
Experience with Data Models (Star Schema and Snowflake Schema).
Experience with Tabular and Multi-Dimensional Data Models.
Exposure with the Data Visualization and Reporting tools like Power BI/Tableau/Spotfire.
Exposure with Microsoft Cloud services like Azure Synapse/Azure SQL DB/Azure Data Factory/Azure Analysis Services.
Exposure with DAX
Experience working in an agile environment (e.g. user stories, iterative development, etc.). Experience working with JIRA
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