[Hiring] Business Analyst @SkySys

Role Description

Business Analyst - Live Events Experience

• Position Type: Full-Time Contract (40hrs/week)
• Contract Duration: 6+ months
• Work Schedule: 8 hours/day (Mon-Fri)
• Location: 100% Remote - Candidates can work from anywhere in India

Responsibilities:

• Analyze consumer behavior across festival properties: customer segmentation, purchasing patterns, pricing elasticity, and product assortment effectiveness
• Answer strategic questions around Price (what should we charge and why) and Product (what should we sell and why)
• Work with transactional data (tickets, food, beverages, merchandise) across orders, carts, items, assortments, SKUs, and pricing
• Navigate the unique "once a year" purchasing cycle of festival data vs. traditional ecommerce recency/frequency models
• Support each festival's P&L leadership with data-driven insights and recommendations
• Build and maintain analytical workflows using SQL and Python for repeatable analysis
• Represent findings clearly through charts, slides, or dashboards to support business decision-making

Qualifications

• Strong experience in data analysis with a focus on consumer behavior, customer segmentation, or pricing strategy
• Proficiency in SQL for querying and transforming large datasets (CTEs, window functions, joins across multiple data sources)
• Experience with BI/dashboarding tools (Domo, Tableau, or similar)
• Working knowledge of Python for analytical scripting (pandas, data wrangling, statistical analysis)
• Experience with transactional/ecommerce data (orders, items, pricing, SKUs) or similar monetarily-driven datasets
• Ability to clearly communicate analytical findings to both technical and business stakeholders
• Comfort working with ambiguity: messy data, multiple systems, incomplete information
• Can clearly communicate ideas to both technical and business teams

Requirements

• Background in live events, entertainment, hospitality, or seasonal business models
• Experience with pricing analytics, A/B testing, or marketing effectiveness analysis
• Familiarity with ETL processes and data pipeline concepts
• Experience working with multiple POS systems or disparate data sources that require reconciliation

Benefits

• Strong Business Analysis
• Strong Analytical thinking
• Experience working with data (SQL, dashboards, etc.)

Company Description