Data Analyst II

Data Analyst II

About

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In’s Best Places to Work.

Responsibilities

• Lead complex data analysis projects across multiple business units, managing end-to-end workflow from requirements gathering to final recommendations
• Design and execute advanced SQL queries to extract, transform, and analyze large datasets from various sources while ensuring data quality and integrity
• Develop and maintain statistical models and dashboards to track KPIs, identify trends, and generate actionable insights for business stakeholders
• Collaborate with Product, Engineering, and Design teams to deliver data-driven solutions that align with business goals.
• Effectively communicate insights and analysis results to stakeholders across SimplePractice, highlighting opportunities to better serve both the business and its customers.
• Mentor junior analysts and collaborate with data engineering teams to improve data infrastructure and accessibility
• Drive strategic decision-making by conducting in-depth analyses of business metrics, market trends, and customer behavior patterns to identify opportunities for growth and optimization

Requirements

• 7+ years of experience in data analysis and analytics
• Proficient in SQL and data querying with programming languages such as SQL and Python.
• Experience building dashboards and visualizations in Tableau or similar BI tools.
• Ability to interpret complex data using advanced analytics, such as predictive modeling, to forecast trends and optimize business outcomes.
• Excellent verbal and written communication skills, with the ability to convey technical information to multiple stakeholders.
• Strong project management and organizational skills
• Enthusiastic about data and analytics, learning new techniques and skills, and working with data scientists and engineers.
• Experience with dbt Cloud or similar tools
• Knowledge of ETL pipelines and data warehouse best practices
• Knowledge of techniques such as regression analysis, hypothesis testing, and multivariate analysis.