Data Analyst III, Operations

About AgelessRx

AgelessRx is a first-of-its-kind, longevity-focused telehealth platform with an e-commerce component. Our mission is to collectively give people millions of extra healthy years, so everyone can enjoy more of what they love in a world where people are empowered to live as long as they want. We believe aging should no longer be treated as a dreadful inevitability, but instead, as a puzzle that can be solved, a fight that can be fought – just as a disease with a cure. Through our free-to-use platform, we offer trusted, data-driven longevity solutions and scientifically backed prescription therapies to help safely lower the risk of age-related diseases. 

About the role

The Data Analyst III, Operations is a highly technical and strategic role responsible for bringing order, insight, and accountability to some of the most complex areas of our business — including fulfillment, vendor performance, clinical operations, and customer experience.

You’ll own the data, tooling, and reporting infrastructure that drive day-to-day operations and executive decision-making. This includes writing production-grade SQL, building scalable data models in dbt, maintaining high-visibility dashboards in Tableau, and delivering analyses that directly improves top-priority KPIs.

You’ll operate with a high degree of ownership, turning operational ambiguity into clearly defined metrics, reports, and processes. You’ll also play a key role in documenting and standardizing operational workflows through SOP development.

This role sits within the Data & Analytics team and partners closely with stakeholders across Operations, Clinical Operations, Product, and Engineering. We're looking for a highly skilled analyst with a strong operational background — someone who thrives in fast-moving environments, communicates clearly, and isn’t afraid to dive into the mess to find truth and deliver impact.

What you'll do

Data Analysis & SQL Development

• Write and maintain advanced SQL (CTEs, window functions, performance-optimized queries) to power dashboards and ad hoc analyses
• Build and maintain reusable data models in dbt that support operational reporting across departments
• Own the underlying data integrity for ops KPIs (e.g. patient turnaround time, SLA adherence, clinical quality)
• Analyze trends in approval rates, decision speed, and clinical throughput to identify bottlenecks and support clinical team performance

Dashboarding & Data Access

• Develop and maintain Tableau dashboards for daily, weekly, and monthly business reporting
• Ensure data visualizations are reliable, scalable, and reflect the latest operational logic
• Partner with end users to continuously improve dashboard usability and business relevance

Process Documentation & SOPs

• Create clear, well-documented SOPs for data workflows, reporting processes, and stakeholder requests
• Help standardize analytical outputs across operations to reduce ad hoc chaos and improve data quality
• Contribute to building the foundational playbooks that guide how operations and analytics teams work together

Stakeholder Partnership & Strategy

• Collaborate closely with Operations, Medical, and CX leads to identify high-impact analytical projects
• Present insights to technical and non-technical stakeholders, including senior leadership
• Bring structure and clarity to complex problems through data storytelling and follow-up recommendations

Operational Support & Scale

• Act as the analytics lead for a high-growth, high-change part of the business
• Identify and build the missing data infrastructure that makes downstream reporting easier
• Proactively identify opportunities to improve turnaround time, reduce friction, support growth, and flag at-risk processes

What you'll bring

• 5+ years of experience in data analytics or operations analytics, ideally in a fast-moving, high-growth startup environment
• Expert-level SQL proficiency — confident writing complex, performant queries using CTEs, window functions, and advanced logic
• Production experience with dbt — built and maintained models, proficient in version control (Git), branching strategies, and deployment best practices
• Advanced Tableau skills — design and build scalable, well-structured dashboards with drill-downs, filters, and alerts, accounting for performance considerations
• Demonstrated experience creating and maintaining SOPs or structured analytical documentation
• Strong business intuition and problem-solving ability — naturally ask "why" and "how"
• Excellent communication and collaboration skills — comfortable identifying broken processes and proposing scalable fixes

PREFERRED QUALIFICATIONS

• Experience using Python for data analysis, automation, or workflow support
• Familiarity with modern data stacks (e.g., Azure, dbt, Python, Git, Airflow)
• Background working in e-commerce and/or telehealth industries