Role overview

Qualifications

Background in live events, entertainment, hospitality, or seasonal business models
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
Experience with BI/dashboarding tools (Domo, Tableau, or similar)

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
Support each festival's PL leadership with data-driven insights and recommendations

Key facts

Remote from: India
Full time
Business Analyst
English

Hard skills

SQL (Programming Language) Python (Programming Language) Business Analysis Pricing Analytics A/B Testing Consumer Behaviour Market Segmentation Pricing Strategies Business Intelligence Tools Transaction Data Live Streaming

Other skills

Hospitality
Analytical Thinking
Communication

About the company

Sky Systems, Inc. (SkySys)

IT Services & IT Consulting

Sky Systems, Inc. (DBA SkySys) is a technology consulting firm based out of Research Triangle Park, North Carolina, United States. SkySys specializes in Recruitment & Staffing, 24/7 On-Site & Remote Services, Managed Services Provider (MSP), Cisco Select Certified Partner and Dell Technology Partner, Contact Center Solutions (Cisco, Avaya, Genesys), Web Solutions, and other services. SkySys currently works with clients across the United States and Canada. Our list of clients include top Fortune 500 companies in various industries – Financial Services, Banking, Pharmaceutical, IT Service Providers, Healthcare, Oil & Gas, Government, Consulting and Outsourcing, Telecommunications, Insurance, Aerospace, Semiconductors, and many more.

Company details

Company typeStartup

IndustryIT Services & IT Consulting

Company size11 - 50

Links

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Job description

Role: 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)

Preferred Qualifications:

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

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

Required 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 both technical and business teams

Notes:

Strong Business Analysis
Strong Analytical thinking
Experience working with data (SQL, dashboards, etc.)
Ability to:
- Translate business problems → data questions
- Communicate insights clearly

Comfortable with SQL, BI tools, building pipelines and deep engineering work