Financial Data Analyst

DMart; Mumbai; On-site; INR 600,000 - 1,100,000; Full time

Job summary

Avenue Supermarts Limited, through its DMart Ready initiative, seeks a data analytics professional to design and maintain executive dashboards and reports. You will leverage Power BI, Python, and advanced Excel to deliver insights across daily, weekly, and monthly business reviews.

collaborating with leadership and stakeholders to ensure reporting aligns with business objectives and drives data-driven decisions.

Qualifications

• Experience building executive dashboards and reports.
• Experience with Python and advanced Excel.
• Experience analyzing operations and KPI reporting.
• Ability to collaborate with stakeholders and leadership.

Responsibilities

• Build executive dashboards and reports for daily, weekly and monthly business reviews.
• Reduce report preparation time using Python, AI-assisted automation and advanced Excel.
• Analyze operational records and deliver nationwide KPI dashboards and reports covering Sales Loss, Delivery Associate Productivity, Buying Cycle, and key operational metrics.
• Perform root cause and trend analysis and data validation, collaborating with stakeholders and leadership to align reporting with business objectives.

Skills

Data analysis

Stakeholder communication

Tools

Power BI

Python

Excel

Job description

Location: Powai (Work from Office)

Avenue E-commerce Limited (AEL) is an online extension of Avenue Supermarts Limited flagship brand. Dmart Ready is the mobile application through which our customers order grocery and other utility products. We seek to be a one - stop shopping destination for the entire family, meeting all their daily household needs offering value for money. A wide selection of home utility products is offered at an affordable price, including groceries, foods, toiletries, beauty products, garment, kitchenware, bed and bath linen, home appliances and much more. Currently we are present at Mumbai, Pune, Ahmedabad, Hyderabad and Bangalore locations.

JD:

• Built executive Power BI dashboards and reports for daily, weekly and monthly business reviews.
• Reduce report preparation time using Python, AI-assisted automation and Advanced Excel.
• Analyze operational records and deliver nationwide KPI dashboards and reports covering Sales Loss, Delivery Associate Productivity, Buying Cycle, and key operational metrics, enabling data-driven performance monitoring and business decisions.
• Perform root cause and trend analysis and data validation, collaborating with stakeholders and leadership to align reporting with business objectives.