Business Intelligence Analyst

Alamo Drafthouse Cinema

. Design, develop, and maintain BI reports, dashboards, and datasets covering multi-unit theater performance, including box office, food and beverage, marketing performance, labor, inventory, and guest experience metrics .

Posted 9/17/2026full-timeAustin • Texas • United StatesMid-LevelSenior💰 $103,500 - $117,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Business Intelligence reporting, data modeling, and analytics, with a strong focus on translating business requirements into actionable data visualizations. Proficient in using cloud data warehouse platforms and BI tools to drive data democratization and continuous improvement in reporting processes.

Highest-signal resume keywords

Data AnalyticsBusiness IntelligenceSQL SkillsSnowflakeDbt

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLPythonData VisualizationData Transformation

Soft Skills

CollaborationIndependent WorkTraining

Tools & Technologies

SnowflakeBigQueryRedshiftDbtGit

Industry Keywords

Multi-Unit Business ModelMetrics GlossaryData DemocratizationBI ReportsDashboards

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain BI reports, dashboards, and datasets covering multi-unit theater performance, including box office, food and beverage, marketing performance, labor, inventory, and guest experience metrics
Translate cross-functional business requirements from Operations, Marketing, Development, and Finance into clear, well-scoped data visualizations
Build and optimize data models within the dbt transformation layer
Drive continuous improvement in reporting processes
Establish and maintain a shared metrics glossary and consistent data definitions across departments
Act as the escalation point for complex BI, data modeling, and reconciliation issues
Foster data democratization through training and documentation so business users adopt self-service tools confidently
Report directly to the VP of Finance and partner with Analytics Engineering within the IT team

Requirements

What you’ll need

Bachelor's degree in Data Science, Statistics, or a related quantitative field (or equivalent practical experience)
5+ years of experience in data analytics or business intelligence
Direct hands-on experience with Snowflake or a comparable cloud data warehouse platform such as BigQuery or Redshift
Direct hands-on experience with Omni specifically
Python or another object-oriented programming language
Experience supporting a multi-unit, brick-and-mortar business model
Strong, daily-use SQL skills, with the ability to write and optimize complex queries against large, multi-source datasets
Hands-on experience with dbt or a comparable SQL-based transformation framework
Working proficiency with Git/GitHub and a pull-request-based code review workflow
Experience building semantic models and dashboards in a modern BI platform
Ability to work independently and collaboratively in a fast-paced, dynamic environment
Ability to lift and move up to 30 lbs
Ability to sit for long periods of time

Benefits

Comp & perks

Free movies & food
Paid time off
Competitive pay
Flexible scheduling
Medical, dental, vision, FSA, HSA, and voluntary benefits are available for all full-time and part-time teammates
Incentive bonus based on performance