At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone!
We are looking for a Data Analyst to join our Data Science team. The Data Analyst, Business Intelligence is responsible for conducting in-depth quantitative analyses to support financial and operational strategies, creating data visualizations that communicate trends and forecasts effectively to stakeholders. They gather analytical requirements, write database queries, and build automated reports using SQL and Python, ensuring adherence to SOX controls. This involves managing projects from inception to completion, designing data-driven solutions that enhance business outcomes and operational efficiency. The Data Analyst, Business Intelligence collaborates with both technical and non-technical teams to provide insights that support product development, provider operations, and marketing strategies, translating complex data into actionable results across a multi-sided healthcare marketplace.
To work at Talkspace, you need to be as passionate as we are about our work, and excited to partner with us on delivering quality mental healthcare.
Talkspace Headquarters is located in NYC. This role requires two days onsite in our Manhattan headquarters.
What You’ll Do
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Data Analysis
- Conduct quantitative and statistical analyses of complex financial and operational data to identify trends, forecast outcomes, and generate actionable insights for strategic decision-making.
- Partner with stakeholders to gather business and analytical requirements and translate them into data-driven solutions, reports, and recommendations.
- Develop and maintain data models, automated reporting, and data visualizations that improve data accuracy, communicate financial trends, and support internal and external stakeholders.
- Write database queries and leverage SQL and Python to manage, analyze, and automate financial data and reporting.
- Design and execute predictive modeling and A/B testing methodologies to evaluate strategies and forecast business outcomes.
- Own financial analytics projects end-to-end, from scoping and planning through execution and delivery, while ensuring compliance with SOX controls and driving operational efficiency.
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Communication and Teamwork
- Work with a team of both technical and non-technical stakeholders to turn insight into action.