Senior Data Analyst

We are on a mission to revolutionize mental health care through the power of data. As a Senior Data Analyst, you will play a critical role in transforming how mental health insights are generated, understood, and applied. By analyzing data from diverse sources, you will help shape personalized, evidence-based mental health solutions and contribute to making care more accessible, effective, and impactful for individuals around the globe.

• Data Analysis & Insights:
• Analyze large, complex datasets to identify trends, patterns, and actionable insights that inform mental health interventions and strategies.
• Develop and present data-driven recommendations to enhance mental health care delivery.
• Machine Learning Models:
• Collaborate with data scientists and engineers to design, build, and deploy machine learning models for predictive and prescriptive analytics.
• Support the development of algorithms to identify patterns in mental health data and optimize care pathways.
• Reporting & Visualization:
• Build and maintain dashboards and reports using tools like Tableau, Power BI, or similar to track mental health outcomes and initiatives.
• Provide real-time updates and performance tracking for key health and wellness metrics.
• Collaboration:
• Partner with cross-functional teams (e.g., Product, Clinical, Engineering, Revenue) to understand data needs and deliver actionable insights.
• Act as a mentor to junior analysts, guiding their professional development and enhancing analytical capabilities.
• Data Management:
• Clean, preprocess, and structure data for analysis, ensuring accuracy and usability.
• Ensure data quality and consistency across all reporting systems while adhering to privacy and security standards in health care data.
• Advanced Analytics:
• Strong ability to interpret data and present findings in a clear, actionable manner.
• Experience with predictive modeling, statistical techniques, and machine learning applications.
• Conduct statistical analysis, predictive modeling, and hypothesis testing to evaluate mental health program outcomes.
• Design and analyze A/B tests to support the optimization of mental health tools and resources.

• Proficiency in SQL for data extraction and manipulation.

• Strong skills in Python, R, or other statistical programming languages.
• Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
• Knowledge of cloud platforms like AWS, Google BigQuery, or Snowflake.
• Working knowledge of ETL processes.
• Exceptional problem-solving skills and attention to detail.
• Strong communication and storytelling skills to convey data-driven insights to technical and non-technical audiences.
• Ability to manage multiple projects and prioritize tasks effectively.

• Work in a diverse environment with people from over 10 countries
• A generous leave policy
• Work flexibility
• Medical coverage
• Annual Wage Supplement (Bonus)
• Christmas Leave (The team takes the whole Christmas week off separate from our leave policy)
• Birthday Leave (1 day)
• Holidays off
• Quarterly mental health day off
• Mental health benefits (Premium access to our app!)
• Work-life balance and employee wellness
• Regular social events where we have non work-related fun