Data Analyst (NY, NY)

Zealthy is a telemedicine company on a mission to provide critical healthcare services to all who need them. We seek to build the world's largest and highest quality telemedicine company and fundamentally expand access to high-quality care.
While the Founder was most recently Founder and CEO at a unicorn healthcare company where he scaled to hundreds of thousands of patients, the full-time team is currently only 10 people. The company is focused on sustainable growth, and the company is growing quickly to achieve its mission.
We work hard at Zealthy to ensure that patients can access high-quality healthcare from anywhere. This means working Monday-Friday in the office. Hours tend to be longer than at most companies because we work hard to serve our patients and make sure that we can achieve our mission of building the world's largest and highest quality telemedicine company.
The culture is focused on what we can do to serve our patients and all full-time members of the team will be equity holders in the business, as we firmly believe that all team members should be literal and figurative owners in what we are building.
We are currently seeking a full-time Data Analyst.

• Set up initial data stack for the team.
• Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data trends and patterns.
• Create clear and concise reports and dashboards to communicate data-driven insights to various stakeholders.
• Ensure data accuracy and reliability by developing and implementing data quality checks. Identify and address data discrepancies or anomalies.
• Create clear and concise reports and dashboards to communicate data-driven insights to various stakeholders.
• Collaborate with cross-functional teams to understand business requirements and provide analytical support for decision-making.
• Identify opportunities for improvements and optimizations.
• Develop and implement predictive models to forecast trends and support future business planning. Continuously refine and enhance models based on feedback and evolving business needs.
• Discover hidden patterns and trends within large datasets to inform strategic business decisions.
• Conduct exploratory data analysis to uncover insights and opportunities.

• Must have experience with SQL.
• Bachelor's degree in a related field such as Statistics, Mathematics, Computer Science, or a related quantitative discipline.
• At least of 1 year of experience in management consulting, investment banking, data, or at a startup.
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication skills with the ability to convey complex findings in a clear and understandable manner.
• Familiarity with database management and data warehousing concepts.
• Knowledge of statistical methods and predictive modeling techniques.