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Data Analytics EngineerTOCA Soccer • United States
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Data Analytics Engineer

TOCA Soccer
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Position Overview: We are hiring a Data Analytics Engineer to join our Data Operations team at TOCA and help scale our analytics platform. This is a hands‑on role for someone who enjoys working close to raw data, building well‑designed data models, and enabling the business to make better decisions through trusted reporting. You will own core analytics models, integrate AI functionalities, partner closely with business stakeholders, and help define best practices for how data is transformed, modeled, and consumed at TOCA. This role is ideal for someone who thrives in an environment where direction is often evolving and enjoys solving open‑ended problems creatively.
Your Game Plan: On the Data Field: Analytics Engineering & Modeling (50%)
Design and build analytics data models in Snowflake using SQL and dbt
Transform raw source data into clean, well‑structured analytics models using star schema best practices
Build and maintain fact and dimension tables across base, staging, and mart layers
Own critical analytics datasets used for executive reporting and business decision‑making
Ensure data quality, consistency, and reliability across all reporting models
Team Captain: Cross‑Functional Partnership (30%)
Partner with stakeholders across Operations, Marketing, Finance, Product, and People teams to translate business questions into analytics solutions
Build and maintain reporting datasets used by Sigma, Qlik, and other BI tools
Communicate findings and insights to both technical and non‑technical audiences
Support onboarding of new data sources and modeling them into the analytics layer
Off the Field: Platform Growth & AI Enablement (10%)
Drive the ongoing integration and optimization of AI features across products, processes, and workflows
Contribute to evolving analytics standards, modeling conventions, and best practices
Help define how data is transformed, modeled, and consumed across TOCA
Facility & Culture MVP (10%)
Develop and maintain dbt projects using GitHub for version control, pull requests, and code review
Participate in and lead code reviews to ensure quality, performance, and maintainability
Bring ownership, organization, and a strong work ethic to a fast‑paced, evolving environment
Thrive in a fully remote, globally distributed team
What You Bring to the Pitch: Required:
4+ years experience in analytics engineering, data analytics, or business intelligence
Advanced SQL skills and strong experience working in Snowflake or similar cloud data warehouses
Strong experience building analytics models using dbt
Experience working in GitHub‑based workflows including pull requests and code reviews
Strong understanding of star schema design, fact and dimension modeling, and analytics layering
Strong experience building dashboards and reporting assets in Sigma or similar BI tools such as Qlik or Tableau
Experience designing reporting layers that directly support executive and business‑facing dashboards
Strong written communication skills for documenting work for technical and non‑technical audiences
Comfort working with a fully remote, globally distributed company
Preferred Skills:
Experience working with other data technologies: HubSpot, Google Analytics
Experience ingesting new data sources using Fivetran, Snowflake data shares, or APIs
Experience implementing AI strategies and AI integrations
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  • United States

Sprachkenntnisse

  • English
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