Hybrid- Data Analyst & Analytical Engineer at restaurant365

Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides a unique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” ... and we want that for you too! Restaurant365 is seeking a Data Analyst to join our Enterprise Data Analytics team. This role supports business teams across the organization by helping turn data into insights that inform day-to-day decisions and longer-term planning.   As a Data Analyst, you will partner with stakeholders to understand business questions, support reporting needs, and help maintain dashboards and KPIs. You’ll work within established data models and governance practices while continuing to build your technical and business analysis skills. This role is ideal for someone who enjoys working with data, learning the business, and growing into a strong analytics partner over time. How you'll add value: Data Modeling & Semantic Layer Development · Build, enhance, and maintain Kimble data models to support standardized project, services, and operational reporting. · Develop and refine semantic models in Snowflake using Cortex to support governed reporting and business-ready data consumption. · Create reusable and scalable datasets that support enterprise KPI reporting and analytics use cases. · Define and apply consistent logic for measures, dimensions, joins, and business rules within semantic and analytical models. · Document model structures, field definitions, and transformation logic to support maintainability and handoff. Analytics Engineering & Data Development · Build and maintain transformations using dbt within Snowflake. · Develop curated data layers to support reporting, dashboarding, and analytics consumption. · Use Git for version control and code management across modeling and transformation work. · Perform testing, validation, and data quality checks to ensure accuracy and consistency of outputs. · Troubleshoot issues in data pipelines, model logic, and reporting datasets. · Optimize queries, models, and transformations for performance and scalability. Reporting & Dashboard Support · Build and maintain datasets used for dashboards and reporting in Domo. · Support development of reporting assets by preparing clean, validated, and trusted data sources. · Validate metrics and reporting outputs against defined business logic and source data. · Execute assigned reporting and modeling tasks based on prioritized business needs and team direction. Team Execution & Delivery · Work from a defined backlog of tasks and deliver assigned work with accuracy and timeliness. · Collaborate primarily within the Enterprise Data team to complete technical deliverables. · Participate in internal team reviews, code reviews, and working sessions as needed. · Maintain clear documentation of completed work, assumptions, and technical decisions. · Take ownership of assigned deliverables with limited oversight once requirements are defined. · Perform other duties as assigned. What you'll need to be successful in this role: · 3+ years of experience in data analytics, analytics engineering, business intelligence, or a related field. · Strong working knowledge of SQL with experience building and troubleshooting analytical datasets and transformations. · Experience with Snowflake, including data modeling, querying, and development of reporting-ready datasets. · Experience using dbt for transformations, testing, and documentation. · Experience with Git for version control and code collaboration. · Experience supporting reporting and dashboarding workflows in Domo or a similar BI platform. · Strong attention to detail and ability to execute defined technical tasks with a high level of accuracy. · Ability to work independently within a structured delivery model and manage assigned work effectively. Preferred · Experience with Kimble data structures or similar professional services/project-based data models. · Familiarity with Snowflake Cortex and semantic model development. · Experience building governed semantic layers or reusable business-ready data models. · Experience with data quality validation, testing, and troubleshooting in cloud data environments. · Exposure to SaaS operational reporting, financial reporting, or product analytics. · Experience working in modern ELT environments and supporting enterprise analytics delivery. DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer.