Analytics Engineer

Superhuman • San Francisco, CA

1d • Hybrid

About The Position

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Superhuman team members in this role must be based within 50 miles (80km) of our San Francisco hub. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here . The Opportunity To achieve our ambitious goals, we’re looking for an Analytics Engineer to enable Superhuman to make better, faster, data-driven business decisions. As part of our esteemed data team, this role is pivotal in allowing us to make quicker, more informed business decisions. The person in this role will have the opportunity to help build an exceptional Analytics stack, foster a data-driven culture throughout our organization, and empower decision-makers at all levels with a reliable source of truth. The Analytics Engineer will collaborate with product, marketing, and business leaders, as well as other data experts, to develop exceptional and scalable analytical solutions for our company. Superhuman engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog .

Requirements

• 5+ years of work experience as an Analytics Engineer, Data Engineer, Business Intelligence Engineer, Data Scientist, or a similar role.
• Excels at using SQL for data pipeline development in a modern data stack (Databricks, Snowflake, BigQuery, Redshift, dbt, etc.).
• Hands-on experience building and delivering high-impact visualizations using industry-standard tools (Tableau, Looker, Mode, Power BI).
• Strong analytical and critical thinking skills, high attention to detail, and a focus on delivering meaningful, actionable insights.
• Has a passion for communicating insights through the language of data.
• Familiarity with version control & CI/CD using code review workflows and tools (Git, GitHub, GitLab).
• Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments.

Nice To Haves

• Prior experience supporting Finance, Revenue, and or Go-to-Market (GTM) functions is a plus.

Responsibilities

• Own the last-mile data delivery and source of truth tables for product and business stakeholders.
• Form a deep understanding of the business, your partners' opportunities and problems, and how data can solve them.
• Work closely with data scientists to define and operationalize critical business metrics.
• Team with data engineers to design fact and dimensional tables to be used by power users and other developers.
• Write complex, production-grade SQL pipelines using engineering best practices for testing, version control, and documentation.
• Create scalable analytical solutions like dashboards, alerts, and tools to enable your users' self-serve reporting and analysis capabilities.
• Continuously re-evaluate our data ecosystem against industry best practices and new third-party technologies to ensure Superhuman analytics stack remains best-in-class.

Benefits

• Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
• Disability and life insurance options
• 401(k) and RRSP matching
• Paid parental leave
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed