Data & Analytics Manager, 7shifts

• Experience in analytics, analytics engineering, or a related data role, with a proven ability to lead and develop people
• A passion for helping people grow, you’ve coached and developed technical and analytical teammates, creating space for them to do their best work
• Strong communication and stakeholder management skills, with the ability to bridge technical and business domains
• Strong SQL skills and hands-on experience with dbt (data build tool), BI & Reporting tools, and cloud data platforms (Snowflake preferred)
• An ability to balance multiple projects and shifting priorities without losing sight of the big picture or the details that matter
• Familiarity with GitHub for version control and collaborative development workflows

Desirable

• As the Manager of Data & Analytics at 7shifts, you’ll lead a team of analysts and analytics engineers focused on delivering actionable insights and building scalable data models to support decision-making across the organization
• You’ll partner closely with cross-functional teams to ensure high-quality, trusted data is available for reporting, strategic analysis, and self-serve exploration
• Your work will shape how data informs decisions across the business, balancing analytical depth with scalable, well-documented solutions that deliver meaningful impact
• We’re building an inclusive work environment that is representative of the diverse industry we have the pleasure of serving and encourage candidates from all backgrounds to apply
• Lead and develop a high-performing team of data analysts and analytics engineers, providing mentorship, feedback, and growth opportunities
• Set the vision and roadmap for analytics and data engineering in alignment with business goals
• Define and champion best practices for data governance, testing, documentation, and version control
• Partner cross-functionally with product, revenue, and engineering teams to prioritize projects and deliver impactful data solutions
• Promote a self-service analytics culture by providing the right tools, training, and accessible data models
• Translate business needs into clear, actionable analytics initiatives while fostering strong stakeholder relationships to ensure alignment, clarity, and ongoing collaboration