Data Analyst, Clinical Operations

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Tuesday Health

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2023

☁️ SaaS

🤝 B2B

👥 B2C

💰 €60 000 000 Series A - Tuesday Health en 2024-05

SaaS • B2B • B2C

Tuesday Health est un prestataire de soins palliatifs et de soutien axés sur la valeur, qui offre un soutien clinique et émotionnel global aux personnes atteintes de maladies graves. Elle combine des équipes de soins interdisciplinaires (médecins, infirmières, travailleurs sociaux) avec des outils numériques (MyTuesday) pour fournir une gestion des symptômes, une planification avancée des soins et un accès 24/7 via des visites en personne, la télésanté et des suivis téléphoniques. Tuesday Health s'associe avec des régimes de santé et des prestataires pour réduire les visites à l'hôpital évitables, améliorer les soins alignés sur les objectifs et soutenir à la fois les patients et les aidants.

Description

• Collaborate with operational stakeholders (Product, Engineering, Clinical, and Engagement) to clarify analytic needs and define requirements. • Build clear analyses, visuals, and dashboards using datasets such as claims, pharmacy, FHIR, Elevate, and other internal tools. • Prepare customer-facing summaries that show Tuesday Health impact, support JOC materials, and track progress toward SLAs. • Assist with data model development by creating well-documented transformations and partner with Analytics Engineering to ensure models stay accurate and aligned with reporting needs. • Monitor data quality for dashboards and reports. Flag anomalies, locate root causes, and coordinate with cross-functional teams to reduce downstream reporting issues.

🎯 Exigences

• Proficiency with SQL • Proficiency with one or more BI tools (ThoughtSpot, Tableau, Looker, PowerBI, etc.) • 2-4 years in healthcare analytics or a related data role • Experience building dashboards or recurring reporting that supports operations • Experience analyzing and transforming data in Python (Nice-To-Have) • Familiarity with dbt and analytics engineering best practices (Nice-To-Have) • Experience with Databricks, Snowflake, or similar cloud data platforms (Nice-To-Have) • Experience with healthcare datasets (e.g. claims, ADT/HIE) (Nice-To-Have) • Experience with git for version control (Nice-To-Have)

🏖️ Avantages

• Competitive compensation, reflecting our commitment to attracting, retaining, and motivating the best talent in the industry • Comprehensive benefits including medical, dental, vision, and life insurance, paid time off and holidays, employer 401(K) match, etc. • Remote work with multiple onsite sessions each year to maximize collaboration and team building • A dynamic and inclusive team environment where you can lean on your teammates, offer candid feedback, bring your true self to work each day, and deliver tremendous impact while having fun along the way • Meaningful work each day; we care deeply about our mission, our patients, and each other