Python Data Analyst

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 275,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. Award-winning and people-first, SimplePractice is shaping the future of health tech. In ****, we were recognized by BuiltIn as a Best Remote Company to Work For, Software Guru's Best Places to Code, Becker Healthcare Telehealth Companies to Know, and we won a MedTech Breakthrough Award for Best Practice Management Solution Provider. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. As a Data Analyst II, you'll play a key role in shaping our data-driven culture. Using SQL, Tableau, and advanced analytics techniques, you'll transform raw data into actionable insights, empowering stakeholders with the clarity they need. You'll have the opportunity to mentor others and foster a culture of innovation by using data to drive product enhancements and business improvements. Whether designing experiments, optimizing user experiences, or translating insights into action, your work will directly contribute to better business outcomes and customer experiences. 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 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 5+ 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. 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. Privatized Medical, Dental & Vision Coverage Work From Home stipend Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays A relocation bonus for candidates joining us from a different city Please note that when you submit your resume or application materials to us for employment purposes in Mexico, your personal data will be processed in accordance with the Ley Federal de Protección de Datos Personales en Posesión de los Particulares (LFPDPPP) . Data Controller: We collect your contact, academic, professional, and evaluation data to process your application, conduct skill assessments, manage candidate pipelines via Greenhouse and Workday, and prepare onboarding/payroll materials if hired. Data Retention: Candidate records and application materials are retained in our talent database for up to You may access, correct, cancel, or oppose the processing of your personal data, or exercise any privacy rights at any time by contacting our team at ** . For full details on how we handle your personal data, please review our complete [com/careers ) and reputable job boards like our official LinkedIn or Indeed pages. ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.