Analytical Engineer I

Summary

Join Restaurant365, a SaaS company revolutionizing the restaurant industry, as an Analytical Engineer I. This role is crucial in building a data-driven foundation for the organization, focusing on data engineering and analytics. You will collaborate with various teams to deliver reliable data solutions, maintain governed datasets, and build scalable semantic layers. The position involves implementing analytical data models, building transformations using ELT practices, and supporting data quality initiatives. You will also learn and utilize business intelligence tools, document data processes, and participate in team activities. This role offers opportunities for professional development and growth within a dynamic and supportive environment.

Requirements

• 1-2 years of experience in analytics, data modeling, or business intelligence, preferably within a SaaS or data-driven organization
• Foundational SQL skills with eagerness to learn advanced querying techniques
• Basic understanding of data concepts and willingness to learn modern data tools (dbt, Snowflake, etc.)
• Analytical mindset with strong attention to detail and problem-solving abilities
• Exposure to programming languages like Python or R (academic or personal projects acceptable)
• Familiarity with data visualization concepts or tools (Tableau, Power BI, Excel, etc.)
• Strong communication skills and ability to work collaboratively in a team environment
• Growth mindset with enthusiasm for continuous learning and professional development

Responsibilities

• Assist in implementing analytical data models and datasets within the enterprise data platform (Snowflake, dbt, etc.) under senior guidance
• Learn to build basic transformations using modern ELT practices to support reporting and dashboard requirements
• Support data quality initiatives by performing validation checks and identifying data inconsistencies
• Collaborate with team members to understand business requirements and contribute to data solution implementation
• Learn business intelligence tools and assist in maintaining existing dashboards and reports
• Document data processes and transformations as part of learning and knowledge retention
• Participate in team meetings, code reviews, and training sessions to develop technical and domain expertise
• Complete assigned tasks and projects while building proficiency in data analytics best practices
• Shadow senior team members on stakeholder interactions to learn business context and communication skills

Preferred Qualifications

Experience supporting ML workflows or working with data scientists to deploy models

Benefits

• Comprehensive medical benefits, 100% paid for employee
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives