Analytics Manager

About Seso

American farmers have made tremendous technology advancements through hardware improvements and investments in precision agriculture. However, when it comes to the back-office, most farms are decades behind, relying on spreadsheets, filing cabinets, and decades-old on-prem software to recruit, manage, and pay their workforce. Seso is addressing this problem by modernizing the back-office for the farm. 

Our mission is to build the premier platform for agribusiness to hire and manage their workforce and improve the lives of agricultural workers. We are addressing American farmers’ biggest pain point - access to qualified labor - through a software-enabled labor solution that automates the H-2A visa. Our  comprehensive HR platform streamlines and automates the hiring process for farms and  seamlessly integrates their efforts across recruitment, onboarding, payroll, and insurance while providing workers access to financial services for the first time.

Seso has raised over $60M from Tier I investors including Index, Founders Fund, and Mary Meeker at Bond, and has been recognized with awards including Forbes Rising Stars and Andreessen Horowitz's American Dynamism 50.

About the Role

Seso is looking for an Analytics Manager to oversee the selection, design, and implementation of data tools and technologies to build a scalable analytics infrastructure. As Seso continues to expand, you will play a critical role in supporting this growth by developing and maintaining high-value dashboards and key performance indicators (KPIs) that transform raw data into actionable insights. Collaborating closely with senior leadership, you will drive informed decision-making across the organization, ensuring that our analytics capabilities evolve in step with the company’s rapid growth and strategic goals.

Responsibilities

• Oversee the selection, design, and implementation of data tools, platforms, and technologies to support scalable analytics infrastructure
• Build and deliver high-value dashboards and reports, transforming raw data into meaningful insights that drive decision-making
• Develop, manage, and maintain key performance indicators (KPIs) and dashboards to monitor and optimize business performance
• Collaborate with senior leadership to understand business goals and develop analytical strategies to support these objectives
• Train business users on data visualization and analysis tools, empowering them to leverage data for informed decision-making
• Proactively identify opportunities for process improvement and operational efficiency through data insights and app development

Skillset

• Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or a related field
• 4+ years experience, with at least 3 years in Analytics, Data Science, Database Management or similar role, preferably at a High-Growth Startup
• Experience in BizOps, RevOps, Product or similar analytical role a plus
• Experience working in Snowflake, AWS, or other data warehouses
• Strong proficiency in data analysis tools (e.g., SQL, Python, R) and visualization tools (e.g., Tableau, Looker)
• Experience with data modeling and/or working in dbt
• Experience synthesizing complex datasets and distilling ambiguous requirements into actionable workstreams
• Creative problem solver with experience in and/or a desire to build internal tools to drive efficiency and identify revenue opportunities
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders

Benefits

• Talented and fun teammates who don't take themselves too seriously
• Competitive salary and meaningful equity
• Excellent health, vision and dental insurance 
• Flexible work schedule and unlimited vacation
• Budget and support for personal development
• Company holiday break
• Company sponsored team events and annual company retreat

Salary range: $120,000-$140,000 annually

We carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job related skills and experience for accuracy. These considerations can cause your compensation to vary and will also be dependent on your location.