Analytics Engineer

About Victory Live

Victory Live is a private equity backed technology company aimed at maximizing distribution and yield for live event ticket inventory. We provide an end-to-end software platform for the live ticketing industry, managing thousands of sports, theater and live music event tickets on behalf of artists, promotors, teams, venues and professional resellers. Victory Live’s comprehensive offerings include an established B2B marketplace along with both a full-service and an automated SaaS platform to handle all elements of the ticket sales lifecycle, from ingestion to sales fulfillment.

The Analytics Engineer will support the business intelligence team by building reliable data pipelines, modeling data for reporting, and ensuring stakeholders have timely, accurate information. You’ll work closely with senior engineers and analysts, gaining hands‑on experience with cloud data platforms, orchestration tools, and modern analytics workflows.

• Develop, test, and maintain
  
  ETL/ELT pipelines using tools likedbt,Snowflake,Airflow,Dagster, and Azure Data Factoryunder the guidance of senior team members.
• Write efficient
  
  SQLandPythoncode to clean, transform, and load data from multiple sources.
• Assist with creating and maintaining data models (e.g. fact/dimension tables) for reporting and analysis.
• Support BI and reporting platforms (e.g.Sigma) by ensuring data is well-modeled and up to date.
• Help monitor pipelines and troubleshoot issues with data quality, performance, or reliability.
• Document data models, transformations, and workflows for knowledge sharing and reproducibility.
• Comfortable with APIs and integrating them into data pipelines.
• Collaborate with the BI team to translate business requirements into usable datasets and dashboards.
• Participate in code reviews, testing, and version control (Git) to ensure data integrity and consistency.

• 2–3 years of experience in data engineering, analytics engineering, or a similar role.
• Strong
  
  SQLskills and experience writing queries for analysis or transformation.
• Basic proficiency in Pythonfor data processing and automation.
• Hands‑on experience with a cloud data warehouse (Snowflake preferred).
• Familiarity with dbtor similar transformation frameworks.
• Exposure to workflow orchestration tools (Airflow, Dagster, etc.) or ETL/ELT services (ADF, Fivetran, etc.).
• Understanding of core data concepts: relational databases, schemas, joins, data modeling.
• Strong communication and problem‑solving skills with an eagerness to learn new tools and techniques.

• Experience with business intelligence tools (Sigma, Power BI, Looker, or Tableau).
• Familiarity with Git and collaborative software development practices.
• Knowledge of basic data governance, lineage, and data quality practices.
• Exposure to cloud environments (Azure, AWS, or GCP).

Victory Live is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another other characteristic protected by state, local or federal law.

Location:

Atlanta, GA