Data Analyst, 7shifts

• Experience delivering financial analysis in support of finance teams
• Strong proficiency in SQL with the ability to write complex queries and work with large datasets
• Hands-on experience with BI tools such as Tableau, Looker, or Power BI (bonus if you’ve used Thoughtspot)
• Experience building and maintaining data models using dbt
• Background in business, analytics, or a technical field
• Proven ability to collaborate effectively with cross-functional teams
• Strong communication and collaboration skills, with the ability to work with cross-functional teams and present data concepts to non-technical audiences
• Experience working in a SaaS with a deep understanding of key metrics such as ARR, Churn, and Net Revenue Retention
• We know you might not check every box, and that’s okay. If you’re excited about this role, inspired to contribute to a meaningful product, and eager to share ideas that drive real change, we’d love to hear from you. We’re building an inclusive team that reflects the diverse industry we serve, and we welcome applicants from all backgrounds

Desirable

• As the Data Analyst, Finance at 7shifts, reporting to the Manager of Data & Analytics, you will act as a dedicated, embedded partner to our Finance team
• You’ll serve as the strategic bridge between the central data function and the finance group, helping leadership measure what matters, uncover trends, and identify risks
• Your expertise will guide the development of Finance-specific dashboards, forecast models, and automated reporting cadences that inform critical decisions
• You’ll also be supported by a collaborative data team, including other analysts, analytics engineers, data engineers, and leaders, who work together to enable data-driven decisions across the company
• Act as the primary, embedded data partner for the Finance team, participating in key cross-functional meetings to translate complex business questions into clear analytical frameworks
• Translate finance datasets into business narratives, proactively identifying patterns (e.g., Churn trends, Coupon Integrity) and leakages before they impact the bottom line
• Build, maintain, and own finance-specific dashboards, combining central "source of truth" data with finance-owned business logic
• Automate and streamline data preparation for key operational cadences, including monthly business reviews, to reduce manual lift and increase speed to insight
• Develop and maintain data models using dbt and SQL to transform raw data into clean, reliable, and scalable datasets for analysis and reporting
• Maintain deep subject matter expertise on all core "finance data" definitions, tools, and roadmaps to ensure analysis is aligned with the central source of truth
• Effectively present findings and recommendations to both technical and non-technical audiences in a clear and actionable way