Data Analyst II; Hybrid

Puesto: Data Analyst II (Hybrid)
About Us
Simple Practice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At Simple Practice, 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 Simple Practice 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, Simple Practice is shaping the future of health tech. Recognized by Med Tech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture
At Simple Practice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

We think big

We take simplicity seriously

We come as we are

We act with humility

We are built on trust

Culture is everyone’s responsibility  culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

Meet us in CDMX!
Want to meet the team before you apply? Join us on  May 28th  for our   Beyond the App:
Building the Future of Tech with AI & Data  Meet-up  in collaboration with  RubyCDMX .

Talk AI, Data, and Engineering with our leads over drinks!
RSVP here:

The Role
As a Data Analyst II, you’ll play a key role in shaping our data-driven culture. Your day-to-day will blend technical problem-solving with strategic thinking—developing metrics frameworks, optimizing reporting pipelines, and uncovering insights that guide Product, Design, Engineering and other key business areas. Using SQL, Tableau, and advanced analytics techniques, you’ll transform raw data into actionable insights, empowering stakeholders with the clarity they need.

You’ll collaborate cross-functionally to define success, measure impact, and drive continuous improvement.
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.

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 Simple Practice, 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

Desired Skills & Experience

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…