Overjet is looking to improve its analytics capabilities to better support internal and external stakeholders at scale.
Requirements
- Excellent technical proficiency in Python, SQL, and data transformation tools
- Strong familiarity with data visualization tools such as Looker, Sigma, Tableau, or Power BI
- Experience with data pipelines and ETL processes
- Knowledge of statistical techniques and data analysis
- Familiarity with data science and analytics best practices
- Experience with data products, dashboards, and data infrastructure
- Strong problem-solving skills and attention to detail
Responsibilities
- Collaborate with cross-functional teams to gather requirements, design analytical solutions, and deliver actionable insights to support business objectives
- Utilize Python, SQL, business intelligence tools, and statistical techniques to analyze large and complex data sets, identifying trends, patterns, and opportunities for optimization
- Collaborate on the construction and maintenance of data pipelines and ETL processes to ensure data integrity, quality, and observability
- Create compelling data visualizations and products using tools like Sigma to effectively communicate findings to internal and external stakeholders and enable self-service dashboards and tools
- Serve as a trusted advisor to external customers, providing expertise on analytics best practices and helping them derive value from Overjet’s unique data
- Stay informed about industry trends and emerging technologies to ensure that our analytics capabilities remain cutting-edge
- Collaborate with data scientists, data engineers, and product managers on data products, dashboards, and the company’s data infrastructure
Other
- Excellent communication skills with the ability to translate complex technical concepts into easily understandable insights for non-technical stakeholders
- Ability to thrive in a fast-paced, technical, and mission-focused environment
- Experience leading engagements with external customers on analytics projects, creating compelling data presentations, and mastery of working with senior leaders
- Excellent academic background in heavily quantitative and analytic related field
- Significant experience with increasing levels of responsibility working in data analytics/science
- Experience working in SaaS, B2B software and at a high-growth startup
- Healthcare experience is a plus
