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1.0 - 2.0 years

1 - 2 Lacs

Navi Mumbai, Maharashtra, India

On-site

Primary Purpose : The Senior Specialist - People Shared Services - Data & Reporting - Global Service Centre is responsible for supporting the efficient management of data and reporting processes within the Hub team. The role focuses on consolidating data, maintaining accuracy, and producing regular reports and dashboards to support informed decision-making. By ensuring data is well-organized and accessible, the coordinator plays a key role in streamlining operations and enhancing team efficiency. Key Role Responsibilities: Consolidate Data: Collect, verify, and consolidate data from various sources to maintain accurate and consistent records. Prepare Reports: Generate regular and ad hoc reports, ensuring timely delivery and relevance to stakeholder needs. Update Dashboards: Maintain and update dashboards with current data, ensuring clarity and usability for decision-making. Ensure Data Accuracy: Regularly review and validate data to uphold integrity across all systems and reports. Respond to Queries: Address data-related queries from internal teams, providing accurate and prompt support. Streamline Processes: Identify and implement improvements to repetitive data and reporting workflows to enhance efficiency. coordination with relevant teams. Skills & Competencies: 1-2 years of experience in data management, reporting, or an administrative role. Familiarity with reporting tools and data entry processes. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Basic knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus. Strong attention to detail and accuracy. Excellent organizational and time-management skills. Effective communication and collaboration abilities. You will work within Hub and Group Programme Management Team You will communicate and partner with the Hub Team. You will communicate and partner with regional and local business unit L&D teams.

Posted 5 days ago

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5.0 - 8.0 years

5 - 7 Lacs

Bengaluru

Work from Office

Key Responsibilities: 1. Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects 2. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. 3. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. 4. Collaboration: Ensure alignment to stakeholders strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams.

Posted 3 weeks ago

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