Atlanta Hawks
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Analytics Engineer
role at
Atlanta Hawks
Overview A professional basketball team and state-of-the-art arena/entertainment venue that specializes in creating memorable experiences for each guest we interact with. We live for the fast-paced world of sports & live entertainment, and as such, we work hard, run fast, execute flawlessly, and celebrate when it all comes together. We strive to deliver wonderful experiences that create lasting memories, and we surround ourselves with those who are the best at what they do.
Who Are You An enthusiastic lover of sports, live entertainment, and people. You have a true passion for engaging in meaningful interactions and creating memorable experiences for all guests. You strive to be helpful, engaging, and knowledgeable of all things Atlanta Hawks and State Farm Arena. You enjoy being part of an exciting and dynamic group, and you’re committed to continuously enhancing the productivity and effectiveness of your team. You enjoy working hard and celebrating hard, and you’d be surprised if guests weren’t positively impacted by their interactions with you.
Responsibilities The Analytics Engineer is responsible for designing, developing, and maintaining our data models, ensuring that our enterprise data architecture is robust, scalable, and aligned with business needs. You will convert raw, ingested data into clean, curated, and governed datasets that serve as the foundation for reporting, analytics, marketing activation, and operational decision-making across the company. You will play a key role in developing the data transformation layer within our warehouse, define and maintain business logic, build reusable data models, and ensure metrics are reliable, consistent, and well-documented. You will enable activation workflows by integrating with Customer Data Platforms (CDPs) and reverse ETL tools, ensuring data can flow back into business applications to drive engagement and value.
Key Responsibilities
Data Modeling & Transformation: Design and implement robust data models that capture business processes for both operational and analytical use cases.
Architect transformations that organize ingested data into normalized, curated, and dimensional structures (fact and dimension tables, incremental models, semantic layers).
Continuously optimize queries and transformations for performance, cost efficiency, and usability at scale.
Implement development workflows using dbt and maintain best practices in version-controlled transformations.
Assist in building semantic layers or standardized data marts for consistent reporting across BI platforms.
Dimensional Modeling & Warehouse Design: Apply modeling methodologies to create intuitive fact and dimension tables and flexible schemas for BI and operational use cases.
Design data structures that handle real-world complexity (slowly changing dimensions, surrogate keys, evolving hierarchies).
Optimize warehouse schemas for performance and scalability while accommodating growing data volumes.
Provide guidance on how analysts access curated data to maximize usability and efficiency.
Data Cleaning, Enrichment, & Quality Assurance: Standardize raw data, enrich datasets, and implement data quality checks for completeness, freshness, and integrity.
Proactively surface quality issues and drive resolution with upstream teams.
Testing, Documentation, & Governance: Implement automated data testing, integrate with CI/CD, document models and lineage, and contribute to governance standards.
Cross-Functional Collaboration & Enablement: Work with Data Engineers, BI Engineers, and analysts to deliver curated datasets and promote data literacy through self-service data products.
Requirements
Strong proficiency in SQL and experience with ELT transformation tools (e.g., dbt).
Deep understanding of dimensional modeling and warehouse design principles.
Experience with modern cloud data platforms (Databricks, Snowflake, BigQuery).
Familiarity with business intelligence tools (Tableau, Looker, Power BI) and data integration patterns.
Exposure to Customer Data Platforms (CDPs) and/or Reverse ETL workflows, understanding how curated warehouse data can be activated in marketing, sales, or customer engagement platforms.
Knowledge of testing frameworks, Git-based workflows, and CI/CD for analytics.
Strong communication skills for bridging technical and business audiences.
Preferred Qualifications
Hands-on experience with data orchestration tools (Airflow, Dagster, Prefect).
Familiarity with Reverse ETL tools (Hightouch, Census) or CDPs (Segment, RudderStack, mParticle, Amperity).
Exposure to Python or similar languages for lightweight data manipulation and automation.
Background in data governance, data cataloguing, or enterprise data management practices.
Experience working in a fast-paced SaaS or product-driven organization.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
If this opportunity looks exciting to you, please complete the application process. Go Hawks!
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Referrals increase your chances of interviewing at Atlanta Hawks by 2x
#J-18808-Ljbffr
Analytics Engineer
role at
Atlanta Hawks
Overview A professional basketball team and state-of-the-art arena/entertainment venue that specializes in creating memorable experiences for each guest we interact with. We live for the fast-paced world of sports & live entertainment, and as such, we work hard, run fast, execute flawlessly, and celebrate when it all comes together. We strive to deliver wonderful experiences that create lasting memories, and we surround ourselves with those who are the best at what they do.
Who Are You An enthusiastic lover of sports, live entertainment, and people. You have a true passion for engaging in meaningful interactions and creating memorable experiences for all guests. You strive to be helpful, engaging, and knowledgeable of all things Atlanta Hawks and State Farm Arena. You enjoy being part of an exciting and dynamic group, and you’re committed to continuously enhancing the productivity and effectiveness of your team. You enjoy working hard and celebrating hard, and you’d be surprised if guests weren’t positively impacted by their interactions with you.
Responsibilities The Analytics Engineer is responsible for designing, developing, and maintaining our data models, ensuring that our enterprise data architecture is robust, scalable, and aligned with business needs. You will convert raw, ingested data into clean, curated, and governed datasets that serve as the foundation for reporting, analytics, marketing activation, and operational decision-making across the company. You will play a key role in developing the data transformation layer within our warehouse, define and maintain business logic, build reusable data models, and ensure metrics are reliable, consistent, and well-documented. You will enable activation workflows by integrating with Customer Data Platforms (CDPs) and reverse ETL tools, ensuring data can flow back into business applications to drive engagement and value.
Key Responsibilities
Data Modeling & Transformation: Design and implement robust data models that capture business processes for both operational and analytical use cases.
Architect transformations that organize ingested data into normalized, curated, and dimensional structures (fact and dimension tables, incremental models, semantic layers).
Continuously optimize queries and transformations for performance, cost efficiency, and usability at scale.
Implement development workflows using dbt and maintain best practices in version-controlled transformations.
Assist in building semantic layers or standardized data marts for consistent reporting across BI platforms.
Dimensional Modeling & Warehouse Design: Apply modeling methodologies to create intuitive fact and dimension tables and flexible schemas for BI and operational use cases.
Design data structures that handle real-world complexity (slowly changing dimensions, surrogate keys, evolving hierarchies).
Optimize warehouse schemas for performance and scalability while accommodating growing data volumes.
Provide guidance on how analysts access curated data to maximize usability and efficiency.
Data Cleaning, Enrichment, & Quality Assurance: Standardize raw data, enrich datasets, and implement data quality checks for completeness, freshness, and integrity.
Proactively surface quality issues and drive resolution with upstream teams.
Testing, Documentation, & Governance: Implement automated data testing, integrate with CI/CD, document models and lineage, and contribute to governance standards.
Cross-Functional Collaboration & Enablement: Work with Data Engineers, BI Engineers, and analysts to deliver curated datasets and promote data literacy through self-service data products.
Requirements
Strong proficiency in SQL and experience with ELT transformation tools (e.g., dbt).
Deep understanding of dimensional modeling and warehouse design principles.
Experience with modern cloud data platforms (Databricks, Snowflake, BigQuery).
Familiarity with business intelligence tools (Tableau, Looker, Power BI) and data integration patterns.
Exposure to Customer Data Platforms (CDPs) and/or Reverse ETL workflows, understanding how curated warehouse data can be activated in marketing, sales, or customer engagement platforms.
Knowledge of testing frameworks, Git-based workflows, and CI/CD for analytics.
Strong communication skills for bridging technical and business audiences.
Preferred Qualifications
Hands-on experience with data orchestration tools (Airflow, Dagster, Prefect).
Familiarity with Reverse ETL tools (Hightouch, Census) or CDPs (Segment, RudderStack, mParticle, Amperity).
Exposure to Python or similar languages for lightweight data manipulation and automation.
Background in data governance, data cataloguing, or enterprise data management practices.
Experience working in a fast-paced SaaS or product-driven organization.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
If this opportunity looks exciting to you, please complete the application process. Go Hawks!
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Referrals increase your chances of interviewing at Atlanta Hawks by 2x
#J-18808-Ljbffr