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Senior Data Analyst
2 months ago
We are seeking a highly skilled Senior Data Scientist - Analytics to join our team at Tonal Systems, Inc. As a key member of our organization, you will play a pivotal role in driving data-informed decisions across our business.
Key Responsibilities- Data Modeling and Analysis: 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.
- Reporting and Visualization: Prepare and present comprehensive reports, dashboards, and visualizations, ensuring data is accessible and understandable to stakeholders across the organization.
- Collaboration and Stakeholder Management: 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.
- Statistical Methods and Machine Learning: Apply statistical methods and machine learning techniques to analyze data, evaluate KPIs, and provide strategic recommendations for business improvements.
- Mentorship and Knowledge Sharing: Mentor junior data analysts, promote best practices, and stay current with industry trends and advancements in data analytics to continuously improve processes and tools.
- Education and Experience: 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.
- Technical Skills: Proven expertise in SQL, Python, Pandas, and advanced knowledge of statistical methods, data modeling, and machine learning software, like SKLearn and TensorFlow.
- Business Acumen: Strong experience with data reporting and analysis tools, like Looker, Databricks, Snowflake, and a deep understanding of the interplay between various disciplines.
- Communication Skills: Demonstrated ability to effectively communicate data-driven insights to both technical and non-technical stakeholders.
- Industry Experience: Knowledge/experience in Connected Fitness.
- Big Data Technologies: Experience with big data technologies such as Spark, a track record of mentoring and guiding junior analysts.
We are committed to creating an inclusive and diverse work environment. If your experience aligns with what we're looking for, we encourage you to apply.
