Design, develop, and maintain complex data models, queries, and automated ETL pipelines using tools like Python, Databricks, Snowflake, Pandas, and DBT to extract actionable insights from large datasets.Prepare and present comprehensive reports, dashboards, and visualizations, ensuring data is accessible and understandable to stakeholders across the organization.Collaborate with cross-functional teams, including product managers and engineers, to define data requirements, identify trends, and drive business decision-making aligned with organizational goals.Apply statistical methods and machine learning techniques, to analyze data, evaluate KPIs, and provide strategic recommendations for business improvements.Mentor junior data analysts, promote best practices, and stay current with industry trends and advancements in data analytics to continuously improve processes and tools. Who You Are Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master’s preferred) with at least 5+ years of experience in data analysis.Proven expertise in SQL, Python, Pandas, and advanced knowledge of statistical methods, data modeling, and machine learning software, like SKLearn and TensorFlow.Strong experience with data reporting and analysis tools, like Looker, Databricks, Snowflake.Proven expertise in delivering innovative and effective solutions to complex challenges, with a deep understanding of the interplay between various disciplines, and the capacity to lead the development of new policies and strategic initiatives.Demonstrated ability to analyze intricate data and scenarios, identify suitable methodologies and processes, and apply sound judgment in adapting techniques to achieve optimal outcomes.Demonstrated ability to effectively communicate data-driven insights to both technical and non-technical stakeholders. Extra credit Knowledge/experience in Connected Fitness.Experience with big data technologies such as Spark, a track record of mentoring and guiding junior analysts. At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don’t just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We’re dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we’re looking for (even if you don’t check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, [email protected]. All requests will be addressed and responded to in accordance with Tonal’s Accessibility Policy and local legislation. Compensation Range: $136K - $190K

Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master’s preferred) with at least 5+ years of experience in data analysis.Proven expertise in SQL, Python, Pandas, and advanced knowledge of statistical methods, data modeling, and machine learning software, like SKLearn and TensorFlow.Strong experience with data reporting and analysis tools, like Looker, Databricks, Snowflake.Proven expertise in delivering innovative and effective solutions to complex challenges, with a deep understanding of the interplay between various disciplines, and the capacity to lead the development of new policies and strategic initiatives.Demonstrated ability to analyze intricate data and scenarios, identify suitable methodologies and processes, and apply sound judgment in adapting techniques to achieve optimal outcomes.Demonstrated ability to effectively communicate data-driven insights to both technical and non-technical stakeholders. Extra credit Knowledge/experience in Connected Fitness.Experience with big data technologies such as Spark, a track record of mentoring and guiding junior analysts. At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don’t just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We’re dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we’re looking for (even if you don’t check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, [email protected]. All requests will be addressed and responded to in accordance with Tonal’s Accessibility Policy and local legislation.