[Hiring] Market Data Analyst @Aliancers

Role Description

Synthesize internal performance data (attendance, revenue, loyalty) with external market intelligence to guide programming, pricing, and marketing. Embed data quality and testing into all market analyses.

• Market Analysis: Analyze market and competitor data (e.g. box office trends, genre performance, pricing, external events) to inform decision-making. Build interactive Power BI or Sigma reports that compare our titles/offers with industry benchmarks. Forecast impacts of pricing changes or seasonality using scenario modeling. Key tasks include monitoring and forecasting trends, and converting data into actionable reports and visualizations.
• Data Integration & QA: Ingest and reconcile external market feeds (e.g. syndicated box office data, weather impacts, ticketing APIs) with internal series data. Build automated quality checks (variance alerts, content validation) to ensure feed integrity. Define tolerances for external data (e.g. expected ranges) and alert on anomalies.
• Campaign Analytics: Partner with marketing/Audience Ops to evaluate promotional campaigns by segment. Audit conversion tracking, ensure UTMs and pixels are firing correctly for market channels. Attribute campaign impact accurately in BI dashboards.
• Pricing & Scenario Modeling: Develop tools (in Power BI/Sigma) to model pricing strategies, showtime allocations, and offer sensitivities. Enable stakeholders to simulate “what-if” scenarios (e.g. price elasticity) with confidence.
• Insights Delivery: Publish regular (e.g. weekly) market-performance reports that highlight trends, opportunities, and risks. Include methodology and QA notes to ensure transparency. Provide reproducible analysis artifacts (SQL queries, Python notebooks) alongside insights for auditability.
• Documentation & Coordination: Document all analysis processes, data sources, and assumptions in Confluence or an internal data catalog. Create SOPs (via Scribe or wiki) for running reports and pipelines. Work across teams (Programming, Marketing, Data Platform) to align on data definitions and guardrails.

Qualifications

• Hands-on experience implementing and troubleshooting tracking tags via Google Tag Manager (GTM) or similar tag management systems.
• Working knowledge of digital advertising pixels and conversion tags (e.g., Meta, Google Ads, TikTok, Floodlight, etc.).
• Familiarity with JavaScript and browser developer tools (Console, Network tab, etc.) for debugging analytics and ad tracking issues.
• Experience configuring and validating custom events and data layer variables for analytics (e.g., GA4).
• Understanding of UTM parameters, campaign tracking, and attribution basics.
• Ability to run quality assurance (QA) checks to ensure accurate data collection across web and app environments.
• Practical experience with GTM and ad pixels as used in other roles, to verify campaign analytics.
• Proficient in SQL (Snowflake) and Python/R for advanced analysis (e.g. forecasting models using Facebook Prophet or ARIMA).
• Advanced Power BI/Sigma skills for dashboard and model development. Ability to handle large datasets and complex calculations (e.g. RLS for territories).
• Familiarity with retrieving market data via APIs or bulk feeds. Experience with data blending tools or ETL to merge disparate sources.
• Use ServiceNow/Jira for data intake and issue tracking. Document analyses and assumptions thoroughly (Confluence).
• Understanding of theatrical or ticketing domain metrics (attendance, per caps, retention) is highly beneficial.