- Salary
- $104k – $117k
- Location
- Support Center, United States of America
- Workplace
- Hybrid
- Type
- Full-time
- Experience
- 5+ years
- Education
- Bachelor
- Source
- Workday
Description
Compensation Range:
$103,500.00 - $117,000.00
Location:
This role reports directly to the VP of Finance and partners closely with Analytics Engineering within the IT team. The position works within a dbt-centric analytics stack (Snowflake, dbt, Omni) where every change to shared data models ships through Git and a pull request review, following software engineering best practices. Day-to-day work sits closer to SQL + dbt + Git than to drag-and-drop dashboard building. You'll be equally responsible for hands-on technical work and for building consensus across departments on what a metric means and which system is the source of truth for it.
WHAT WE OFFER
- A fun workplace where you can be yourself and do awesome work!
- 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
OUR MISSION:
To Ensure EVERY Guest and Teammate Has An AWESOME Experience And Is EXCITED To Come Back
CORE ROLE RESPONSIBILITIES
Design, develop, and maintain BI reports, dashboards, and datasets covering multi-unit performance across our theaters — box office, food & beverage, marketing performance, labor, inventory, and guest experience metrics.
Translate evolving, cross-functional business requirements from Operations, Marketing, Development, and Finance into clear, well-scoped data visualizations.
Build and optimize data models within our dbt transformation layer, and 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 across the organization, including training and documentation so business users adopt self-service tools confidently.
QUALIFICATIONS
Must Haves
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.
Nice to Haves, but not a must
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 (i.e. cinema, restaurants, hotels, retail, grocery, or similar).
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), including comfort working within a large, shared model codebase.
Working proficiency with Git/GitHub and a pull-request-based code review workflow.
Experience building semantic models and dashboards in a modern BI platform (e.g., Omni, Looker/LookML, or similar).
Ability to work independently and collaboratively in a fast-paced, dynamic environment.
Nice to Haves, but not a must
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.
PHYSICAL REQUIREMENTS
Lifting and moving up to 30lbs
Sitting for long periods of time
OUR CORE VALUES:
DO THE RIGHT THING
We strive to be a force of good in our company, in our industry and in the world. We stand up for our beliefs even when it is hard. We start from a place of kindness.
FOSTER COMMUNITY
We value what is unique about each other and celebrate our differences. We treat each other with respect, support each other’s passions, and help each other grow. We welcome healthy debate but don’t tolerate intolerance. We take this commitment outside our 4 walls, creating neighborhood theaters that are deeply tied to the local community.
BOLDLY GO
Like the crew of the Starship Enterprise™, we seek out new experiences and pursue innovation in all of our work. We take risks and chart new territory. We learn from our mistakes and continuously improve.
GIVE A SH!T
We are passionate about creating awesome experiences. We obsess over every detail and take pride in our work because we know it makes all the difference to our guests and our teammates. Our pursuit of excellence drives us to do our best.
Company: Alamo Drafthouse Cinema
