MIS Data Analyst

Talent Hired-the Job Store; Mumbai; On-site; INR 600,000 - 900,000; Full time

Job summary

Talent Hired-the Job Store in Mumbai is seeking an experienced data professional to analyze MIS reports, build Power BI data models, and create compelling visualizations for stakeholders. The role requires strong Excel proficiency and the ability to handle large datasets in a banking context.

You will collaborate with cross-functional teams to deliver high-quality dashboards and presentations that drive strategic decisions and performance insights. Prior banking experience is a plus.

Qualifications

• 3-5 years of experience in a banking data role.
• Advanced Excel skills including pivot tables, macros, and VLOOKUP.
• Proficiency in PowerPoint for presentations and reports.
• Strong understanding of data analytics principles and ability to work with large datasets.

Responsibilities

• Analyze MIS reports to identify trends, patterns, and insights that inform business decisions.
• Develop and maintain complex data models using Power BI to support strategic planning initiatives.
• Collaborate with cross-functional teams to design and implement effective data visualizations for stakeholders.
• Provide expert-level support in creating high-quality MIS reports, dashboards, and presentations.

Skills

Data analytics

Large datasets

Stakeholder communication

Tools

Power BI

Excel

PowerPoint

Job description

Roles and Responsibilities :

• Analyze MIS reports to identify trends, patterns, and insights that inform business decisions.
• Develop and maintain complex data models using Power BI to support strategic planning initiatives.
• Collaborate with cross-functional teams to design and implement effective data visualizations for stakeholders.
• Provide expert-level support in creating high-quality MIS reports, dashboards, and presentations.

Job Requirements :

• 3-5 years of experience in a similar role within the banking industry.
• Advanced Excel skills including pivot tables, macros, and VLOOKUP functions.
• Proficiency in PowerPoint for creating engaging presentations and reports.
• Strong understanding of data analytics principles and ability to work with large datasets.