Analytics Engineer - Gametime United
New York City, NY
About the Job
The Role:
We are looking for a skilled Analytics Engineer to join our Data Science team, a cross-functional group supporting all aspects of Gametime. In this role, you will help build out a robust data infrastructure that supports business operations company-wide. This role will focus on developing our Analytics Data Layer (ADL) to enable self-service analytics across departments, empowering teams with the data they need to make informed decisions. You will work closely with business intelligence tools such as Sigma and Snowflake, creating scalable, high-performance data models and reporting solutions to support our growing company.
The ideal candidate has a blend of analytics, data engineering, and business intelligence expertise, thrives in a dynamic environment, and has a passion for delivering high-quality, accessible data solutions.
Above & Beyond: The Impact You'll Make:
- Analytics Data Layer (ADL): 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.
- Business Intelligence and Reporting: Build and maintain company-wide operational reports using Sigma and other BI tools, delivering accurate, actionable insights to stakeholders.
- Business Knowledge and Understanding: Develop a deep understanding of business performance and operations to inform effective data modeling and reporting.
- Cross-Functional Collaboration: Partner with data engineers, analysts, and business stakeholders to understand reporting requirements, build scalable solutions, and ensure data quality.
- Self-Service Enablement: 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.
- Data Modeling and Governance: 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.
Always Be Curious: Skills You've Learned Along The Way:
Technical Skills:
- Data Engineering Expertise: Strong experience with ETL processes, data integration, and modeling, particularly within modern data warehouses (e.g., Snowflake, Redshift).
- SQL Mastery: Advanced proficiency in SQL for writing efficient queries, building data models, and optimizing performance.
- Business Intelligence Tools: Expertise in BI platforms such as Sigma, Tableau, or Power BI to create dashboards and operational reports.
- Programming and Data Processing: Familiarity with programming languages (e.g., Python) for data engineering workflows and automation.
- Cloud Platforms: Experience with cloud-based data warehouses and infrastructure, particularly Snowflake, for scaling analytics across the company.
Interpersonal Skills:
- Collaboration: Proven ability to work cross-functionally with data engineering, business stakeholders, and analysts to design and deliver reporting solutions that meet business needs.
- Communication: Excellent ability to communicate technical concepts and solutions to non-technical stakeholders clearly and effectively.
Problem-Solving and Decision-Making:
- Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure.
- Proactive: Proactive in identifying challenges and implementing solutions and embodies a proactive and "Always be Curious" mindset
One Team One Dream: What We Need to Work Together:
- Education: Bachelor's degree in Data Engineering, Computer Science, Information Systems, or a related field.
- Experience: 3+ years of experience in data engineering, analytics engineering, or business intelligence in a high-growth, data-driven environment.
- Tools:
- 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 Qualifications:
- Experience building self-service analytics capabilities for business teams.
- Advanced degree in Data Science or related fields.
- Experience in ticketing is a strong plus.
What We can Offer:
- 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
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.
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.
