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Senior Business Analyst

NMIMS · nmims.edu
MumbaiSenior
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The job in short

Business analysis.

Details

Found
33 d ago · posted 2026-06-18
Location
NMIMS University Office, Mumbai

Full description

Job Designation: Senior Business Analyst Job Summary: The Senior Business Analyst will act as the lead resource for the Data Analytics function, responsible for driving data-driven decision-making across departments. The role involves analyzing institutional data, generating strategic insights, implementing advanced analytics solutions, and presenting key findings to senior leadership to support planning and performance improvement. Designation Senior Business Analyst Location Mumbai Department VC Office Key Responsibilities • Lead and manage the Data Analytics function and team. • Design and implement data analysis frameworks for institutional decision-making • Analyse large and complex datasets to identify trends, patterns, and insights • Develop interactive dashboards and reports using BI tools such as Tableau / Power BI • Collaborate with academic and administrative departments to understand data requirements • Present monthly analytical reports and insights to the Hon’ble Chancellor and senior leadership • Ensure data governance, integrity, and standardization across systems • Implement AI and machine learning tools for predictive analytics and automation. • Identify opportunities for process improvement through data insights • Mentor and guide Data Analysts for effective project execution Educational Qualifications • M.Tech. (Data Science) / M.Sc. (Statistics) / MBA (Business Analytics) or equivalent from a reputed institution or recognized university Professional Experience • Minimum 5 years of experience in data analytics / business analytics. • Experience in handling large datasets and analytics projects and presenting insights to senior stakeholders. • Exposure to academic/education sector will be preferred. Skills and Competencies • Strong analytical and problem-solving skills • Proficiency in BI tools (Tableau / Power BI) • Knowledge of programming languages such as Python / R / SQL • Understanding of AI/ML tools and their applications • Strong data visualization, storytelling, communication, and presentation skills • Leadership, stakeholder management, and ability to handle multiple projects independently

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