
1 - 10 employees
Founded 2023
💄 Beauty
🛒 Retail
🧘 Wellness
Beauty • Retail • Wellness
ZING is a toothpaste company that specializes in enamel whitening with a unique formulation that promises to dissolve stains, repair enamel, and reduce sensitivity. Proudly made in the UK, ZING's products are vegan, cruelty-free, and 100% recyclable. Their toothpaste is designed to be enjoyable to use while providing effective dental care, with a focus on natural ingredients and sustainability.
🔥 0 minutes ago
Where this job comes from
Posted on ZING. Enamel Whitening. Toothpaste, but magic.'s careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

1 - 10 employees
Founded 2023
💄 Beauty
🛒 Retail
🧘 Wellness
Beauty • Retail • Wellness
ZING is a toothpaste company that specializes in enamel whitening with a unique formulation that promises to dissolve stains, repair enamel, and reduce sensitivity. Proudly made in the UK, ZING's products are vegan, cruelty-free, and 100% recyclable. Their toothpaste is designed to be enjoyable to use while providing effective dental care, with a focus on natural ingredients and sustainability.
• Independently lead complex healthcare analyses from business questions through recommendation • Analyze medical, pharmacy, eligibility, provider, and member data to identify trends, opportunities, and drivers of performance • Design and execute analyses evaluating clinical, operational, provider, and member engagement programs • Develop statistically sound comparisons, cohorts, and methodologies to assess outcomes and effectiveness • Identify cost, utilization, quality, risk adjustment, and population health improvement opportunities • Validate analytical results and communicate data limitations, assumptions, and uncertainty • Extract, transform, and analyze large healthcare datasets using SQL • Use R and/or Python for statistical analyses, predictive modeling, and data exploration • Develop reusable analytical frameworks and methodologies • Partner with Data Engineering and Business Intelligence teams to improve data quality, documentation, and reporting • Ensure analytical integrity through governance and validation standards • Collaborate with leaders across Clinical Operations, Population Health, Provider Performance, Finance, Compliance, Quality, and Executive Leadership • Translate ambiguous business questions into structured analytical approaches • Provide project updates regarding status, timelines, assumptions, dependencies, and risks • Present findings and recommendations in a clear, concise, executive-ready manner • Serve as a trusted analytical advisor and thought partner to business stakeholders • Recommend new approaches, methodologies, and analytical techniques • Stay current on healthcare analytics best practices, Medicare Advantage performance metrics, and emerging analytical tools • Contribute to scalable analytical capabilities across the Enterprise Reporting & Analytics team
• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Public Health, Healthcare Informatics, Computer Science, or a related quantitative field • Medicare Advantage experience • Five or more years of experience in healthcare analytics, medical economics, population health analytics, provider analytics, or related analytical roles • Advanced SQL proficiency, including complex joins, window functions, and performance optimization • Experience using R and/or Python for statistical analysis and data modeling • Strong understanding of healthcare claims, eligibility, pharmacy, and provider data • Experience designing and interpreting comparative analyses, cohort studies, and program evaluations • Proven ability to independently manage analytical projects from inception through stakeholder presentation • Strong written and verbal communication skills • Ability to explain complex analytical findings to non-technical audiences • Experience with Stars, HEDIS, Risk Adjustment, or Provider Performance • Knowledge of causal inference, predictive modeling, regression techniques, or experimental design • Experience with Power BI, Tableau, or other analytical visualization tools • Advanced degree in Statistics, Economics, Public Health, Data Science, Biostatistics, or related discipline
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