Analytical Engineer I

Position Overview

Restaurant365 is a SaaS company disrupting the restaurant industry with its cloud-based platform for accounting and back-office operations. Our culture empowers team members to produce top-notch results while elevating their skills, aiming to be "Best in Class."

We are seeking an Analytical Engineer I to join our Enterprise Data Analytics team. This role is crucial in building the foundation for data-driven decision-making across the organization, operating at the intersection of data engineering and analytics. You will maintain governed datasets, scalable semantic layers, and analytical infrastructure to enable accurate reporting, forecasting, and advanced modeling. Collaboration with cross-functional stakeholders in Product, Sales, Customer Success, and Finance is key to delivering reliable data solutions.

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.

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.

Bonus:

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

Compensation & Benefits

• Salary Range: $85,833.33 - $120,166.67 / year
• Employment Type: Full Time
• Comprehensive medical benefits (100% paid for employee)
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives

Company Information

Restaurant365 is a SaaS company disrupting the restaurant industry. Our 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.”

DYN365, Inc d/b/a Restaurant365 is an equal opportunity employer.

Location Type

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Application Instructions

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