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Manager, Business Intelligence

unlimited holidays - work from home

Remote:

Full Remote

Contract:

Full time

Salary:

130 - 160K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

3-5 years of people management experience, 8+ years in data analytics or engineering, 1+ years of SaaS industry experience, Strong knowledge of SQL and Python, Familiarity with modern data stack tools.

Key responsabilities:

Manage and mentor the Business Intelligence team
Collaborate with stakeholders to understand data needs
Create project plans for large scale initiatives
Act as a trusted advisor in data utilization
Ensure successful delivery of data products

Restaurant365 Computer Software / SaaS SME https://www.restaurant365.com/

201 - 500 Employees

See more Restaurant365 offers

Job description

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!

As the Manager, Business Intelligence, you'll be an integral leader of our dynamic Data & Analytics team, responsible for driving data-informed decision-making across the organization. You'll work closely with cross-functional stakeholders to gather and analyze business requirements and turn them into high-impact data products for Restaurant365 while also mentoring analysts. You’ll collaborate with all levels of the organization across all functions. If you're driven, accountable, empathetic, and love good food, we'd love to have you join our team.

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.

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

#BI-Remote

R365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply.