Market Data Analyst

Formamos parte de una organización dinámica y flexible con gran capacidad de adaptación y compromiso. Valoramos las competencias, habilidades, experiencia y potencial de las personas, así como sus cualidades personales, aplicando dichos valores tanto a nuestro trato con los clientes como entre nosotros.

Role Summary : 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.

Key Responsibilities :

 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. As reported for market analysts, 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. These models should have auditable inputs and

clear assumptions. 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.

Core Technical Skills :

 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.

 Analytics Tagging : Practical experience with GTM and ad pixels as used in other roles, to verify

campaign analytics.

 Data Tools : Proficient in SQL (Snowflake) and Python / R for advanced analysis (e.g. forecasting

models using Facebook Prophet or ARIMA).

 BI & Visualization : Advanced Power BI / Sigma skills for dashboard and model development.

Ability to handle large datasets and complex calculations (e.g. RLS for territories).

 External Data : Familiarity with retrieving market data via APIs or bulk feeds. Experience with

data blending tools or ETL to merge disparate sources.

 Collaboration : Use ServiceNow / Jira for data intake and issue tracking. Document analyses and

assumptions thoroughly (Confluence).

 Domain Knowledge : Understanding of theatrical or ticketing domain metrics (attendance, per

caps, retention) is highly beneficial.