Assistant Engineer - Livable Places

0 - 4 years

0 Lacs

Posted:20 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

You will be responsible for creating and maintaining an interactive Power BI dashboard, compiling data, preparing reports, and managing project requirements. Your role will involve writing and optimizing complex SQL queries to efficiently extract and manipulate data. Utilizing advanced Excel functionalities for data processing, analysis, and visualization will be a key aspect of your responsibilities within project contexts. Collaborating closely with project teams in India and the UK, as well as Project Managers, to understand requirements and offer data-driven solutions will be essential. Conducting thorough data analysis to extract actionable insights and identifying opportunities for process improvement are also core components of the role. You will be expected to recommend data-driven strategies to enhance project efficiency and client satisfaction, ensuring data accuracy, integrity, and consistency in all reporting and analysis activities related to projects. For this role, you must possess strong competencies in data analytics, data visualization, data management, data reporting, Power BI, and Dataverse. Desired skills include applying data science methodologies to enhance analytical models and predictive capabilities for projects. You will explore and integrate new data sources to enrich existing datasets, expanding the analytical scope for projects. Leveraging the Power Platform, including Power Apps and Power Automate, to streamline data workflows and automate repetitive tasks related to projects will be advantageous. Utilizing Dataverse to build and manage scalable data solutions supporting project-wide analytics initiatives is also expected. Familiarity with AI/ML concepts and their practical application in a project context is a plus, as is knowledge of data governance best practices and experience working with large-scale datasets in a project-driven setting. The ideal candidate for this position will hold a Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline. A degree in a project-related field would be an added advantage.,

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