Offer summary

Qualifications:

Pursuing a degree in Computer Science, Data Science, Statistics, Engineering, or a related field., Experience or coursework in SQL and data modeling is required., Familiarity with Python or another scripting language is preferred., Strong analytical, problem-solving, and communication skills are essential..

Key responsibilities:

Assist in developing and maintaining scalable data pipelines using tools like dbt, SQL, and Python.

Transform raw data into clean, tested, and documented datasets in a data warehouse.

Collaborate with data analysts and stakeholders to understand data needs and build reusable data models.

Support in building dashboards or reports using BI tools such as Looker, Tableau, or Power BI.

Job description

About Us:

Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

The Role:

We’re looking for a motivated and curious Analytics Engineer Intern to join our Data & Analytics team. This internship is an opportunity to work at the intersection of data engineering and analytics — building data models, transforming raw data into meaningful insights, and enabling stakeholders to make data-driven decisions.

Above & Beyond: The Impact You'll Make:

Assist in developing and maintaining scalable data pipelines using tools like dbt, SQL, and Python.
Transform raw data from various sources into clean, tested, and documented datasets (e.g., in a data warehouse like Snowflake, BigQuery, or Redshift).
Collaborate with data analysts and business stakeholders to understand data needs and build reusable data models.
Create and maintain documentation for datasets, dashboards, and data transformation processes.
Support in building dashboards or reports using BI tools such as Looker, Tableau, or Power BI.
Help monitor data quality and performance of data pipelines.

One Team One Dream: What We Need to Work Together:

Pursuing a degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
Experience or coursework in SQL and data modeling.
Familiarity with Python or another scripting language.
Exposure to modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery) is a plus.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.

At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

United States - Pay Range

$25—$30 USD

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

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