Source description
About the role
As a Data Analyst in Noida, Uttar Pradesh, your role will involve partnering with business and technology stakeholders to translate data-driven opportunities into actionable solutions. This will enable improved decision-making and measurable business outcomes by driving the adoption of data-led practices aligned with strategic priorities. Key Responsibilities: - Work closely with stakeholders to identify business problems and define data-driven solution approaches. - Translate business requirements into analytical models, metrics, and data use-cases. - Perform exploratory data analysis to generate actionable insights for decision-making. - Drive storytelling through the creation of dashboards, visualizations, and executive-ready insights. - Collaborate with engineering teams to ensure data availability, quality, and usability. - Recommend data strategy improvements that are aligned with business goals. - Support the implementation of analytics solutions and monitor their business impact. - Enable business users through training, data literacy programs, and advisory support. - Ensure alignment with enterprise data standards and governance policies. In addition to the key responsibilities, the company may have additional details about its culture, values, or other information that was not included in the job description provided. As a Data Analyst in Noida, Uttar Pradesh, your role will involve partnering with business and technology stakeholders to translate data-driven opportunities into actionable solutions. This will enable improved decision-making and measurable business outcomes by driving the adoption of data-led practices aligned with strategic priorities. Key Responsibilities: - Work closely with stakeholders to identify business problems and define data-driven solution approaches. - Translate business requirements into analytical models, metrics, and data use-cases. - Perform exploratory data analysis to generate actionable insights for decision-making. - Drive storytelling through the creation of dashboards, visualizations, and executive-ready insights. - Collaborate with engineering teams to ensure data availability, quality, and usability. - Recommend data strategy improvements that are aligned with business goals. - Support the implementation of analytics solutions and monitor their business impact. - Enable business users through training, data literacy programs, and advisory support. - Ensure alignment with enterprise data standards and governance policies. In addition to the key responsibilities, the company may have additional details about its culture, values, or other information that was not included in the job description provided.
More at HCLTech