Description
About Membersy
Membersy, trusted by over 5,000 practices nationwide, is making dental care more accessible by connecting patients with affordable care while giving providers the tools, technology, and support they need to launch and grow a dental membership plan.
Since 2015, Membersy has been at the forefront of positive change in the way patients access quality and affordable dental care, while simultaneously creating a model for dental providers to control the pricing narrative and lessen their reliance on insurance carriers. Our vision is to create a world where the quality of care people receive isn’t determined by their insurance coverage. And we’d like your help.
About the Role
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.
- 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).
Bonus Points for:
We are actively taking steps to make sure our culture is inclusive and that our processes and practices promote equity for all, including people of color, people from working-class backgrounds, women, and members of the LGBTQ+ community. We welcome and encourage applications from people with these identities or members of other historically marginalized groups.
Research shows that women and people of color tend not to apply to jobs unless they believe they are 100% qualified and apply to fewer senior-level positions. With that in mind, we encourage you to apply if you're not sure whether you meet our qualifications. We'd love to have the opportunity to consider you!
Membersy is a proud equal-opportunity employer. We are open to all backgrounds and never discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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