About the company
Our partner is a growing, collaborative environment where curiosity, continuous learning, and innovative thinking are highly valued.
Responsibilities
- Define, develop, and maintain KPIs that measure product health, customer engagement, commercial performance, and marketplace dynamics.
- Analyze customer behavior, product usage, and business trends to identify risks, opportunities, and drivers of future performance.
- Translate complex analytical findings into clear, actionable recommendations for product, commercial, and leadership teams.
- Partner cross-functionally with teams including sales, marketing, finance, HR, and product.
- Collect, clean, transform, and analyze large datasets from internal and external sources.
- Develop predictive models and statistical analyses that help explain business behavior and inform strategic decisions.
- Build and automate recurring reports and analytical processes.
- Improve data accessibility and quality by supporting scalable data solutions, ETL processes, and data architecture.
- Monitor and optimize data pipelines and data quality.
- Implement and maintain appropriate data governance, security, and quality controls.
- Develop clear data visualizations and dashboards.
- Help foster a culture of data-driven decision-making and continuous improvement.
Requirements
- Minimum of 8 years of experience as a Data Scientist, Data Analyst, or in a closely related analytics-focused role.
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical discipline; an advanced degree or relevant certification is a plus.
- Strong proficiency in SQL and at least one high-level programming language such as Python, R, Scala, or Java.
- Demonstrated expertise in statistical analysis, predictive modeling, data extraction, data cleaning, and data visualization.
- Experience working with large datasets and translating analytical findings into practical business recommendations.
- Strong understanding of product and customer analytics.
- Experience with ETL processes and data engineering concepts; exposure to Azure cloud services or Microsoft Fabric is a plus.
- Experience with data visualization platforms such as Power BI is preferred.
- Ability to work effectively with cross-functional stakeholders.
- Strong communication skills.
- High level of accountability, curiosity, adaptability, and commitment to continuous learning.
- Comfortable working independently, taking ownership of projects, and delivering results in a fast-paced and evolving environment.
- Experience in the medical device or healthcare industry is strongly preferred but not required.
- A growth mindset and genuine interest in developing robust, scalable, and efficient data solutions.
Conditions
- 100% remote position within the United States, supporting US core business hours.
- Comprehensive healthcare benefits effective from day one.
- Medical, dental, and vision insurance.
- Life insurance, FSA, HSA, short-term and long-term disability coverage.
- Critical illness and accident insurance options.
- Competitive base salary plus eligibility for a corporate bonus program.
- Potential eligibility for equity.
- Generous paid time off.
- 16 paid holidays, including a company-wide summer recharge week in July.
- 12 weeks of paid parental leave after 90 days of employment.
- Monthly cell phone stipend.
- Opportunity to join a growing team and build foundational analytics and data capabilities with meaningful business impact.