Compensation Overview

Salary Range: 130000 to 160000 (Currency: USD) (Pay period: per-year-salary)

How you’ll add value:

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People Management 
• Manage the Business Intelligence team to provide priorities, scope, and timelines, overseeing quality of work, goal setting and performance reviews. 
• Guide a new team (5 analysts with <1 year tenure) from storming to performing. 
• Mentor and train members of the team in data analysis, visualization, and SQL best practices. 
Data Product Management 
• Collaborate with executives, business leaders, and cross-functional teams to understand their data needs and strategic objectives. 
• Translate data needs and strategic objectives into technical requirements for exploratory data analyses, data products, or data infrastructure. 
• Create documentation for reference, process, and results. 
• Establish process to receive feedback on implemented projects to ensure the anticipated value creation is achieved. 
• Drive the concept of data as a product by applying product thinking into datasets. 
• Stay up to date with industry trends and emerging technologies in business intelligence and evaluate their potential impact on the business. 
Project Management 
• Work with the Enterprise Technology & Data leadership team to translate data needs and strategic objectives into a larger Insights roadmap, which includes Data Engineering and Data Science. 
• Create project plans for larger initiatives. 
• Lead multiple large scale, high impact projects that are transformational for users. 
• Manage the Insights Agile scrum team and ideally the Enterprise Data Warehouse Agile scrum team. 
• Deliver and report on quarterly OKRs. 
Stakeholder Engagement 
• Act as a trusted advisor, guiding how data can be leveraged to achieve business outcomes. 
• Establish SLAs, metrics, objectives and success criteria for the team and guide the team in achieving business needs. 
• Establish and nurture strong stakeholder relationship built on trust, delivery, and support. 
• Communicates complex ideas and concepts to non-technical peers and customers. 


Other duties as assigned, including hands-on technical work as needed to support the team in hitting deadlines. 

What you’ll need to be successful in this role:

• 3-5 years of formal people manager experience leading teams of 3+. 
• 8+ years in data (business intelligence, analytics engineering, data science, etc.) 
• 1+ years of SaaS industry experience required. 
• Strong working experience with Data Engineering or Analytics Engineering teams; Data Science is a plus. 
• Exemplary analytical problem-solving skills, and knowledge of business intelligence tools (I.e. Domo, Looker, Tableau).  
• Advanced knowledge of SQL; Python a strongly preferred. 
• Familiarity with a Modern Data Stack (I.e. ETL tools like dbt, Airflow, Fivetran and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift).  
• Excellent communication and collaboration skills, with the ability to influence stakeholders at all levels of the organization. 
• Strong attention to detail and excellent written/verbal communication skills. 
• Intrinsically motivated to achieve goals, deliver on tasks without reminders, and be very responsive in a remote environment. 
• Occasional travel may be required. 

R365 Team Member Benefits & Compensation

• This position has a salary range of $130K-$160K. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices.
• Comprehensive medical benefits, 100% paid for employee
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives


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