Senior Data Analyst

At August, our data-driven approach and customer-obsessed culture are critical to our success as a company and brand. As August grows, we're building analytical expertise across our team and we're looking for a Senior Data Analyst to join our Data team while partnering closely with Customer Success to help our clients better support their communities and caregivers.

You'll be the bridge between data and customer empowerment, setting the standard for how August turns customer data into strategic narratives. These are the stories that show senior living communities how data can simplify workflows, reduce administrative burden, and free caregivers to focus on resident care.

- Lead deep-dive analyses on customer data to surface non-obvious opportunities for how communities can better support caregivers and streamline workflows

- Design and own scalable, reusable dashboards, reports, and visualizations that the whole Customer Success org relies on to demonstrate value to clients

- Partner with Customer Success on Quarterly Business Reviews (QBRs), customer meetings, and strategic initiatives

- Present findings to customers and translate complex data into clear, actionable recommendations

- Define and drive scalable data processes and analytics best practices, and influence the Insights roadmap through strategic feedback to Product and Engineering teams

- Understand senior living operations and caregiver workflow patterns to identify pain points and opportunities that empower care teams

- Scope ambiguous, open-ended business questions from Customer Success and leadership into structured analyses with minimal direction

- Define the metrics and self-serve tooling that let Customer Success answer routine questions without an analyst in the loop

- 6+ years of data analyst experience with advanced SQL skills (window functions, CTEs, query optimization)

- Track record of independently owning analytics projects from ambiguous ask to shipped insight

- Solid understanding of statistics for practical business applications

- Customer-obsessed mindset with concrete examples of helping customers meet their goals

- Experience presenting to external stakeholders and working directly with customers

- Understanding of data structures, privacy, and responsible data stewardship

- Excellent communication skills - you can make complex data accessible to anyone

- Experience with Python for data analysis and visualization tools like Looker, Omni, or similar

- Healthcare data experience (EHR systems, medical terminology) is a plus