Business Analyst - Live Events Experience

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Transform complex event data into actionable business insights to influence pricing, product strategy, and revenue decisions. Analyze customer behavior, provide data-driven recommendations, and support leadership teams. Strong analytical thinking and communication skills required.

Key Highlights

Analyze customer behavior across live event and festival ecosystems

Provide data-driven recommendations on pricing and product strategy

Work with complex transactional datasets and build analytical workflows

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Key Responsibilities

Analyze customer behavior across live event and festival ecosystems, including segmentation, purchasing patterns, pricing elasticity, and product performance

Provide data-driven recommendations on pricing and product strategy, answering key business questions around what to sell and at what price

Work with complex transactional datasets including tickets, food, beverages, merchandise, SKUs, and multi-channel orders

Technical Skills Required

SQL Python Tableau

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Benefits & Perks

Competitive contract-based compensation

Fully remote work flexibility within India

Opportunity to work on large-scale live event and festival data ecosystems

Job Description

This role focuses on transforming complex, high-volume event and transactional data into actionable business insights that directly influence pricing, product strategy, and revenue decisions across live festival environments. You will work at the intersection of analytics, business strategy, and operational decision-making, helping leadership teams understand customer behavior in highly dynamic, seasonal event settings. The role requires strong analytical depth combined with the ability to interpret messy, multi-source datasets and translate them into clear, decision-ready insights. You will support P&L owners with data-driven recommendations that impact pricing, assortment, and customer experience at scale. The environment is fast-paced, ambiguous, and highly data-intensive, requiring both structured thinking and adaptability. It is ideal for someone who enjoys solving unconventional analytics problems where traditional ecommerce models do not apply.

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