Business/Data Analyst
First seen by Alion on Jul 21, 2026.
Job Description :
- 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
Skills
Business Analyst, Data Analytics, ETL, SQL, Python, Tableau, Analytics