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Job Description

This position is responsible for supporting the overall data strategy of the Business Intelligence & Analytics department, with a particular focus on ticket pricing. The position will contribute throughout the whole data analytics lifecycle, including business system administration, data acquisition, data hygiene, reporting, predictive analytics, and business application. Additionally, the role will proactively find areas of chance to streamline internal processes, develop automation, and build scalable data solutions. A technical and analytical approach to problem solving and a critical thinking mindset will be key success factors for delivering unique and actionable business solutions.

Key Responsibilities

- Utilize market intelligence data to enhance dynamic ticket pricing strategy and inventory management as well as create individual game models to adjust inventory and pricing in real-time
- Lead annual variable pricing strategy to maximize ticketing revenue opportunities.
- Play a central role in ticket inventory management throughout the season, leveraging pricing and allocation across multiple products for best revenue outcomes
- Architected end-to-end data pipelines using dbt to transform complex raw sources into optimized, analytical data models
- Build live dashboards using Databricks SQL, creating charts and graphs to track KPIs and business trends in real-time
- Leverage Databricks Lakehouse architecture to build scalable SQL queries,



develop collaborative notebooks, and deliver actionable business insights through integrated dashboards
- Acquire, organize, analyze, and present data from ticket sales, concessions and merchandise sales, social media and website engagement, corporate partnership sales, stadium operations, loyalty programs, market research and various other business verticals
- Use SQL queries to retrieve business information, respond to ad hoc requests
- Build relationships with various internal stakeholders to understand objectives and build consensus
- Design and develop internal systems and scripts to acquire data that can be used to enhance and automate the business process
- Perform database segmentation to target fans with relevant marketing communications
- Support the continuous development of internal business data warehouse by identifying opportunities within ETL processes
- Assist in the programming and execution of fan surveying efforts

Required Tech Stack & Qualifications

- A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, Operations Research, or Economics
- 6+ years in an analytical role
- Experience with pricing analytics highly preferred
- Considerable experience with data analytics (e.G. SQL, Python coding) to perform data exploration
- Proficiency with Microsoft Excel, and other Office products
- Curious self-starter who learns new concepts quickly
- Close attention to detail

Apply on Kit Job: kitjob.in/job/47jr7g

📌 Senior Business Intelligence Analyst (Bengaluru)
🏢 Straive
📍 Bengaluru