SS
Business Analyst - Live Events Experience
Sky Systems, Inc
Location not stated
Remote
3 months ago
- ETL
- POS
- SQL
- Python
- Domo
- Tableau
- Pandas
3 months ago
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
- 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
- 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
- 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
Business Analyst - Live Events Experience · Sky Systems, Inc