Senior Data Analyst & Customer Success Operations Lead – Global Healthcare Platform, Data‑Driven Insights & AI Innovation at brighthush

About brighthush

brighthush is redefining the future of digital health by weaving together advanced analytics, artificial intelligence, and compassionate care into a single, patient‑centric ecosystem. With a footprint that spans more than a dozen countries and a network that connects millions of patients to thousands of clinicians, we empower healthcare providers to streamline workflows, reduce costs, and focus on what matters most: delivering exceptional care.

Our portfolio is a tapestry of marketplace platforms, AI‑driven analytics, telehealth solutions, and integrated care pathways. Every product is engineered to help doctors, clinics, and hospitals achieve operational excellence while improving patient outcomes. At brighthush, data is not just a by‑product; it is the engine that drives every decision, every innovation, and every step toward healthier communities.

With a vibrant community of more than 3,000 employees worldwide, brighthush blends the agility of a startup with the scale of a global enterprise. We’re driven by data, fueled by curiosity, and committed to creating lasting impact in the health sector.

Why Join brighthush?

• Real Impact – Your work directly influences the health journeys of millions, helping clinicians provide better care.
• Scale with Agility – Work in a fast‑moving environment where ideas can be tested, iterated, and implemented quickly.
• Future‑Focused Growth – Shape the next generation of health technology while building a career that evolves with you.
• Inclusive Culture – Thrive in a diverse, collaborative, and respectful workplace that values every voice.

Role Overview

As the Senior Data Analyst & Customer Success Operations Lead, you will become the analytical backbone of brighthush’s Customer Success organization, which supports healthcare professionals across 13 markets. You will partner closely with the VP of a key business line—either Individual Doctors or Clinics—to deliver data‑driven insights that inform strategy, optimize performance, and accelerate growth.

Reporting to the Global Customer Success Operations & Analytics Manager, you will own the full lifecycle of analytical projects: from scoping and data modeling to dashboard creation, experimentation, and storytelling. Your work will bridge the gap between business stakeholders and the broader data organization, ensuring that insights are actionable, scalable, and aligned with brighthush’s standards.

Key Responsibilities

Reporting & Dashboard Development

• Design, build, and maintain recurring reports and interactive dashboards using Tableau, Superset, Looker, or other BI tools.
• Automate data pipelines and reporting workflows to support multi‑market operations.
• Ensure consistency with brighthush’s BI standards and collaborate with the BI team to resolve gaps.
• Translate complex data sets into intuitive visual stories that resonate with non‑technical audiences.

Advanced Analytical Modeling

• Transition from descriptive reporting to predictive and prescriptive analytics, focusing on regression, forecasting, and segmentation.
• Iterate on existing statistical models, validate assumptions, and refine predictions.
• Develop MVPs for new predictive use cases and hand them off to the Data Science team for production.
• Document model logic, performance metrics, and limitations for future reference.

AI‑First Execution

• Leverage AI and LLMs to accelerate data querying, code generation, and analysis.
• Contribute to shared code libraries, reusable components, and best‑practice documentation.
• Stay abreast of emerging AI tools and evaluate their applicability to customer success challenges.

Stakeholder Collaboration

• Act as the translation layer between business leaders and data teams (BI, Data Platform, Product Analytics).
• Prioritize requests, manage expectations, and negotiate scope to align with business priorities.
• Lead deep‑dive analyses that uncover root causes, recommend actions, and track outcomes.
• Facilitate cross‑functional workshops to align on metrics, definitions, and success criteria.

Experimentation & Impact Measurement

• Design, run, and analyze A/B tests and other experiments to validate hypotheses.
• Translate experimental results into clear, data‑backed recommendations for product and business teams.
• Develop impact dashboards that track key performance indicators before, during, and after experiments.

Project Ownership & Prioritization

• Self‑manage your workload, triage incoming requests, and decide when to seek guidance versus acting independently.
• Escalate cross‑team dependencies and resource constraints to the manager for strategic resolution.
• Maintain a transparent project backlog and communicate status updates to stakeholders.

Essential Qualifications

• Degree in Engineering, Statistics, Mathematics, Physics, or a related quantitative field.
• 3–5 years of hands‑on analytics experience as an individual contributor.
• Advanced SQL skills (BigQuery preferred) and strong Python proficiency for statistical modeling.
• Proficiency in statistical techniques: regression, forecasting, A/B testing, and predictive analytics.
• Experience building dashboards for non‑technical audiences using Looker, Tableau, or similar tools.
• Excellent communication skills: ability to distill complex data into clear, actionable narratives.
• Track record of cross‑functional collaboration with product, engineering, and business teams.
• Professional fluency in English (Spanish is a plus).

Preferred Attributes

• Proactive mindset: you identify opportunities and elevate execution without waiting for direction.
• Entrepreneurial ownership: you take responsibility for outcomes and drive initiatives to completion.
• Strong prioritization skills: you balance stakeholder demands with strategic objectives.
• Comfort with ambiguity: you thrive in fast‑changing environments and deliver results.
• Experience with AI/LLMs: you understand their capabilities and limitations and have built solutions using them.
• Data storytelling: you communicate insights simply, building trust across diverse audiences.

Skills & Competencies

• Data Engineering: ETL design, data warehousing, and pipeline automation.
• Statistical Analysis: hypothesis testing, model validation, and performance metrics.
• Business Acumen: understanding of healthcare operations, revenue models, and customer success metrics.
• Communication: translating technical findings into business language for executives and non‑technical stakeholders.
• Project Management: agile methodologies, sprint planning, and stakeholder coordination.
• Continuous Learning: staying current with emerging analytics tools, AI advancements, and industry trends.

Career Growth & Learning Opportunities

At brighthush, your career path is as dynamic as the industry. You’ll have access to:

• Mentorship from senior leaders in analytics, product, and engineering.
• Cross‑functional projects that expose you to new domains and technologies.
• Continuous learning through internal workshops, external conferences, and a generous budget for certifications.
• Clear progression tracks: Senior Data Analyst → Lead Data Analyst → Analytics Manager → Director of Analytics.

Work Environment & Culture

Our culture is built on four pillars:

• Impact‑First – Every project is measured by its contribution to patient outcomes and business growth.
• Ownership – You own your work, your results, and your professional development.
• Simplicity & Lean Thinking – We value elegant solutions over unnecessary complexity.
• Respect & Radical Honesty – Open communication and constructive feedback are the norm.

We celebrate diversity, encourage collaboration across geographies, and support flexible work arrangements. Whether you prefer remote work or one of our global hubs—Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome, or Bologna—you’ll find a welcoming environment that values results over rigid schedules.

Compensation & Benefits

While specific figures vary by location and experience, brighthush offers a competitive total rewards package that includes:

• Market‑aligned base salary and performance bonuses.
• Comprehensive health insurance covering medical, dental, and vision.
• Wellness programs: gym memberships, mental health support, and wellness stipends.
• Generous paid time off, including vacation, personal days, and sick leave.
• Extended parental leave and family‑friendly policies.
• Flexible work hours and remote work options.
• Professional development budget and access to industry conferences.
• Equity or stock‑option plans for eligible employees.

Hiring Process

Our streamlined, transparent hiring journey typically follows these stages:

1. Intro Call – A brief conversation with our Talent Partner to discuss fit, motivation, and alignment.
2. Manager Interview – A deeper dive into your experience, aspirations, and technical fit with the hiring manager.
3. Technical Assessment – A short SQL challenge and discussion with our Head of BI to evaluate your analytical skills.
4. Business Case – A take‑home exercise that simulates a real‑world problem, followed by a collaborative review with stakeholders.
5. Optional Final Interview – A conversation with a senior leader or peer to explore cultural fit and future opportunities.
6. Reference Check & Offer – Final confirmation and offer presentation.

We value your time and aim to keep the process efficient while ensuring a thorough assessment of your fit and potential.

What We Believe In

• Focus on Results – Deliver measurable impact for patients and partners.
• Ownership Mindset – Take responsibility, drive outcomes, and champion excellence.
• Lean & Simple Solutions – Prioritize clarity and efficiency over unnecessary complexity.
• Respect & Radical Honesty – Foster trust through open, constructive dialogue.
• Continuous Learning – Cultivate curiosity and growth at every level.

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Join Us

Ready to make a tangible difference in global health while advancing your career? Apply today and become a pivotal part of brighthush’s data‑driven future.