Business Analyst - Lower Parel

Nextleap; Mumbai; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Nextleap is seeking a Business Analyst in Mumbai (Lower Parel) with 2–3 years of experience to join the team and drive data-informed decisions. The role focuses on creating automated analytical tools, dashboards, and reporting across Retail, Product, Supply Chain, and Finance to optimize business performance.

You will work with Google Analytics, Excel, Tableau and marketing platforms to deliver actionable insights, ensuring data integrity and clear storytelling for leadership.

Qualifications

• Proven experience using analytics platforms such as Google Analytics to analyze web/app traffic and user behavior.
• Hands-on experience extracting and integrating data from performance marketing platforms and building dashboards.
• Strong ability to consolidate data from multiple sources into centralized reporting systems.
• Advanced proficiency in Excel and dashboarding tools (Tableau); familiarity with Python or R is a strong plus.
• Genuine interest in fashion and apparel industry.

Responsibilities

• Design and implement automated analytical tools and interactive dashboards to empower stakeholders.
• Analyze web and app traffic to identify optimization opportunities across digital platforms.
• Support cross-functional teams in analyzing customer behavior and tracking performance with dashboards.
• Collaborate with Retail, Product, Supply Chain, and Finance to unify data sources and develop actionable dashboards.
• Ensure data integrity through profiling and addressing anomalies.
• Investigate root causes of business challenges and deliver data-driven solutions.
• Communicate findings to leadership with clear visualizations and storytelling.

Skills

Google Analytics

Data analysis

Excel

Tableau

Python

R language

Data integration

Dashboarding

Marketing analytics

Tools

Tableau

Excel

Google Analytics

Meta Ads Manager

Google Ads

Job description

Business Analyst

Work from office – Lower Parel, Mumbai

All Face-to-Face (F@F) interviews.

Experience: 2–3 years in a similar role – preferably within a D2C brand

Reports to: Head of Department (HOD)

Key Responsibilities

• Design and implement automated, standardized analytical tools—such as interactive dashboards to empower stakeholders in identifying business opportunities and driving data-informed decisions.
• Analyze web and app traffic data to pinpoint areas for optimization and growth across digital platforms.
• Support cross-functional teams in analyzing customer behavior, identifying trends, and building dashboards for ongoing performance monitoring.
• Collaborate with departments including Retail, Product, Supply Chain, and Finance to unify data sources and develop actionable dashboards that support strategic decision-making.
• Ensure data integrity throughout the collection and processing lifecycle by conducting data profiling and addressing anomalies proactively.
• Investigate root causes of business challenges and deliver solutions that go beyond surface-level insights.
• Communicate findings and recommendations effectively to leadership through compelling visualizations and clear, data-driven storytelling.

Required Qualifications & Skills

• Proven experience using analytics platforms such as Google Analytics (or equivalent) to analyze web/app traffic and user behavior.
• Hands-on experience extracting and integrating data from performance marketing platforms (e.g., Meta Ads Manager, Google Ads) and building relevant dashboards.
• Strong ability to consolidate data from multiple sources into centralized, actionable reporting systems.
• Advanced proficiency in Excel and dashboarding tools (e.g., Tableau); familiarity with programming languages such as R or Python is a strong plus.
• A genuine passion for the fashion and apparel industry.
• Willingness to engage directly with raw data to define meaningful checkpoints and ensure analytical rigor.
• Self-motivated and adaptable, with the ability to thrive in a fast‑paced, evolving business environment.

[Add information regarding benefits and perks here]

Skills: platforms,data integration & reporting,data analysis & excel,performance marketing analytics,advanced data visualization,building,google analytics