Box Office (Data Analyst) Manager

Responsibilities

• Promotions —
• design and run pricing-led campaigns. Decide cinemas, films, price points. Measure lift.
• Pricing —
• set and adjust ticket prices across cinemas and formats. Balance ATP vs admit volume. Benchmark against competition.
• Special formats —
• drive Macro, VIP, 3D utilization through programming, pricing, and targeted demand generation.
• Data Analysis —
• build the senior-leadership deck: what’s releasing, what we’re doing about it, how last week landed, what’s changing.
• Production house promotions —
• manage co-marketing and joint campaigns with studios

Requirements

Minimum 5–8 years of experience in analytics-driven commercial roles — revenue management, pricing, category management, growth marketing, or management consulting

Proven track record of owning a commercial P&L lever with direct accountability for results

Proficient in data analysis tools including pivot tables and basic SQL; able to work independently with datasets without relying on analyst support

Strong ability to translate data and analysis into clear, concise presentations that support executive decision-making

Active user of AI productivity tools (e.g. ChatGPT, Claude, or equivalent) in a professional setting; experience building or prototyping AI-assisted workflows is a plus

• Professional fluency in English and Bahasa Indonesia, written and spoken
• Preferred qualifications

Background in industries where pricing, promotions, and category mix are primary commercial drivers — cinema, OTT, FMCG, retail, e-commerce, QSR, online travel, or telecommunications

Experience transitioning from a consulting background into a commercial line role, or as a category/revenue manager in a fast-moving consumer business

Demonstrated ability to lead through cross-functional influence, working effectively with analysts, agencies, and external partners without direct line management authority

• Strong commercial judgement with the ability to make timely decisions under uncertainty and adapt quickly based on performance data
• Proactive approach to adopting new tools and technologies, particularly in the area of AI and data analytics