- Business Analyst (live events)

- Remote, India

- Mid level (around 6-10 YOE)

- 6-12+ months contract - likely to extend

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

Technical 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

- Business analyst who can do data analysis but is mainly operates with the business stakeholder reviewing business process, providing requirements, almost like a M&A analyst.

- Huge selling point : Live events, ticketing, or operational environments