We’re Membersy, an Austin-based digital health company that provides dental organizations of all sizes—from small startups to large enterprises—with thoughtfully designed membership programs to make dentistry more affordable and approachable.

Since 2015, the Membersy mission has remained the same: to help expand access to quality dental care through subscription-based dentistry.

Today, more than 4,000 practices and 1 million members across the United States use Membersy's advanced subscription management and billing platform for a more personal and connected dental experience.

We are seeking a skilled and motivated Data Analyst with intermediate experience in SQL & Python to join our team. As a Data Analyst at Membersy you will play an important role in transforming data into actionable insights to influence data-driven decisions within our organization. The ideal candidate will have a strong background in statistical analysis, data modeling and a passion for communicating insights from data to drive business decisions.

The role will be reporting to Membersy’s Director of Corporate Analytics.

As a Data Analyst at Membersy, you will:

• Conduct statistical analysis to identify relevant trends, patterns, and correlations in data
• Refine & explore datasets for meaningful insights that can improve business operations.
• Effectively monitor and analyze the performance of short-term experiments to clearly communicate outcomes to stakeholders
• Generate actionable insights and recommendations based on analysis.
• Perform data cleansing & validation to ensure the accuracy and completeness of datasets
• Develop, implement & maintain underlying data models to ensure business relevance, data quality, and integrity
• Implement data validation techniques and quality checks to ensure accurate and reliable reporting
• Identify and resolve data quality issues by collaborating with relevant teams
• Monitor and maintain data integrity across different systems and databases
• Collaborate and support team members
• Work closely with cross-functional teams, both technical and business stakeholders, to clearly understand requirements, desired outcomes and deliver effective solutions through formal and informal presentations
• Distill technical methods into digestible information for non-technical audiences

What we’re looking for in a highly qualified candidate:

• Strong analytical and problem-solving skills with the ability to work with complex data sets
• 3+ years of analytics experience or in a similar role with demonstrable proficiency in SQL, Python and relational databases (e.g., MySQL, Oracle, SQL Server)
• Experience with data visualization tools (e.g. matplotlib, seaborn, Tableau, PowerBI) and related best practices
• Strong attention to detail and a commitment to delivering high-quality work
• Ability to work independently and collaborate effectively in a team environment
• Excellent communication skills with the ability to translate technical concepts into clear and concise insights for non-technical stakeholders

Bonus Points for:

• Knowledge of Agile Software Development Lifecycle.
• Solid understanding of data governance and data management practices
• Experience with dbt & Git
• Experience building and deploying predictive models
• Experience with the Stripe API
• Familiarity with cloud computing platforms (e.g. GCP, AWS)