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Company

Gametime · 7 hours ago

Analytics Engineer

United States

Full-time

Remote

Mid Level

$140K/yr - $170K/yr

3+ years exp

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E-CommerceEvents

Growth Opportunities

H1B Sponsor Likely

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Responsibilities

Develop and enhance the ADL to ensure scalable, reliable data pipelines and models that support self-service analytics across the organization.

Design and implement data models integrating multiple data sources (e.g., marketing, sales, finance) into Snowflake, providing a unified, accessible view of business operations.

Build and maintain company-wide operational reports using Sigma and other BI tools, delivering accurate, actionable insights to stakeholders.

Develop a deep understanding of business performance and operations to inform effective data modeling and reporting.

Partner with data engineers, analysts, and business stakeholders to understand reporting requirements, build scalable solutions, and ensure data quality.

Build intuitive, user-friendly data models and dashboards within tools like Sigma, enabling business users to explore, access, and analyze data independently.

Support a culture of data democratization by providing training and documentation to enhance self-service capabilities across teams.

Implement best practices for data modeling, governance, security, and performance optimization within the data pipeline and BI layer.

Develop and maintain ETL (Extract, Transform, Load) processes to ensure data cleanliness, consistency, and availability for reporting and analytics.

Qualification

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ETL processesData integrationData modelingSnowflakeSQLBusiness Intelligence toolsPythonCloud platformsAirflowDbtTableauPower BI

Required

Bachelor’s degree in Data Engineering, Computer Science, Information Systems, or a related field.

3+ years of experience in data engineering, analytics engineering, or business intelligence in a high-growth, data-driven environment.

Strong experience with ETL processes, data integration, and modeling, particularly within modern data warehouses (e.g., Snowflake, Redshift).

Advanced proficiency in SQL for writing efficient queries, building data models, and optimizing performance.

Expertise in BI platforms such as Sigma, Tableau, or Power BI to create dashboards and operational reports.

Familiarity with programming languages (e.g., Python) for data engineering workflows and automation.

Experience with cloud-based data warehouses and infrastructure, particularly Snowflake, for scaling analytics across the company.

Proven ability to work cross-functionally with data engineering, business stakeholders, and analysts to design and deliver reporting solutions that meet business needs.

Excellent ability to communicate technical concepts and solutions to non-technical stakeholders clearly and effectively.

Demonstrates strong critical thinking and decision-making abilities, especially under pressure.

Proactive in identifying challenges and implementing solutions and embodies a proactive and 'Always be Curious' mindset.

Proficiency with SQL, Snowflake, Python, and business intelligence tools (e.g., Sigma, Tableau, Power BI).

Hands-on experience with data pipeline tools like Airflow, dbt, or similar ETL platforms.

Preferred

Experience building self-service analytics capabilities for business teams.

Advanced degree in Data Science or related fields.

Experience in ticketing is a strong plus.

Benefits

Flexible PTO

Competitive salary & equity package

Monthly Gametime credits for any event ($1,200/yr)

Medical, dental, & vision insurance

Life insurance and disability benefits

Diverse Family-forming benefits through Carrot Fertility

401k, HSA, pre-tax savings programs

Company offsites and meet-ups

Wellness programs

Tenure recognition

Company

Gametime

Gametime sells last-minute tickets to the most popular events in sports, music, and theater.

Founded in 2013

San Francisco, California, USA

51-200 employees

http://www.gametime.co

H1B Sponsorship

Gametime has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (1)

2022 (2)

2020 (3)