Senior Business Analyst

Shri Vile Parle Kelavani Mandal

India

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

Shri Vile Parle Kelavani Mandal is seeking a Senior Business Analyst in Mumbai to lead the Data Analytics function. The role focuses on data-driven decision-making and involves analyzing complex datasets, generating insights, and collaborating with leadership.

The ideal candidate should have at least 5 years of relevant experience and a strong academic background in data science or analytics. Proficiency in BI tools such as Tableau / Power BI is essential. This position offers opportunities for leadership and engagement with senior stakeholders.

Qualifications

  • Minimum 5 years of experience in data analytics or business analytics.
  • Experience in handling large datasets and analytics projects.
  • Exposure to the academic or education sector is preferred.

Responsibilities

  • Lead and manage the Data Analytics function and team.
  • Design and implement data analysis frameworks for decision-making.
  • Analyse large datasets to identify trends and insights.
  • Develop interactive dashboards and reports using BI tools.
  • Present analytical reports to senior leadership.
  • Ensure data governance and integrity across systems.
  • Implement AI and machine learning tools for analytics.
  • Identify opportunities for process improvement through data insights.
  • Mentor Data Analysts for effective project execution.

Skills

Analytical and problem-solving skills
Proficiency in BI tools (Tableau / Power BI)
Knowledge of programming languages (Python / R / SQL)
Understanding of AI/ML tools
Data visualization and communication skills
Leadership and stakeholder management

Education

M.Tech. (Data Science) / M.Sc. (Statistics) / MBA (Business Analytics)

Tools

Tableau
Power BI
Python
R
SQL

Job description

Job 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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