Manager, Business Intelligence

How you'll add value:

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.

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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