Data Analyst

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Kids Empire

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

👥 B2C

🛒 Retail

B2C • Retail

<Kids Empire> Kids Empire operates a network of indoor play centers (100+ locations) that provide active play environments for children, birthday party packages, field trip hosting, and onsite snacks and retail souvenirs. The business emphasizes safety and efficiency with mandatory online waivers, required non-grip socks (sold onsite), and options for group bookings and pre-made party experiences.

📋 Description

• Develop dashboards and reports that help teams understand performance (revenue, customer behavior, park operations, etc.) • Translate business questions into clear, actionable analytics • Improve self-service capabilities so teams can answer their own questions efficiently, while maintaining a clean single source of truth • Build and maintain dbt models that form our core analytics layer • Ensure data quality, consistency, and reliability across all tables and sources • Implement documentation, testing, and versioning best practices • Partner with the Operations, Marketing and Finance leadership to understand their data needs • Design efficient datasets that empower non-technical users • Ensure consistent KPIs and definitions across teams and systems • Support Kids Empire requirements when designing metrics and data models • Work alongside the tech team and data engineers on the redesign of our operational schema • Provide analytics-driven input to ensure reporting and insights are treated as first-class priorities in the new data structure • Validate that data outputs remain consistent during dual-write and cutover phases, and update the reporting layer to use the new schema

🎯 Requirements

• 7+ years as a Data Analyst with strong modeling experience • Advanced SQL skills • Experience with BigQuery or similar cloud data warehouse • Experience creating and maintaining dbt models • Experience building dashboards in Domo, Tableau, Power BI, Looker, Metabase, or similar platforms • Strong understanding of dimensional modeling and business metrics • Advanced Excel and Google Sheets proficiency • Experience with US GAAP accounting requirements • Experience with Git and modern analytics workflows (preferred) • Familiarity with Python (preferred) • Experience with CRM segmentation and marketing analytics (preferred) • Experience in multi-location retail, hospitality, entertainment, or consumer businesses (preferred) • Familiarity with AI tools and workflow automation platforms (preferred)