Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$138к-145к/год
$130к$150кмедиана$190к
По похожим ролям (50) ~ $150к/год
На СНГ рынке: $3.2к/мес ($3к - $3.6к)
80
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У роли понятная ответственность за удержание клиентов и сочетание аналитики с управлением инициативами, хотя регулярная отчетность для руководства и координация многих команд добавляют сложности.
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Широкая зона ответственностиАктуальные инструментыAI в медицинеУдалённо по США
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sales Analytics & Program Manager (AI): Owning net revenue retention and developing customer-retention programs through subscription, billing, product-usage, support, CRM, marketing, and customer-success data with an accent on churn analysis, AI-assisted automation, and cross-functional execution. Focus on cleaning and joining messy datasets, building predictive retention insights, presenting findings to senior leaders, and managing ambiguous projects from planning through launch.
Location: Fully remote within the U.S.; up to 10% travel required.
Salary: $138,000–$145,000 USD annually. Total compensation may also include an annual performance bonus, ESPP, enhanced time-off packages, and benefits.
Company
hirify.global is a publicly traded healthcare technology organization providing digital cloud fax, interoperability, HL7/FHIR data exchange, NLP, AI, and analytics-ready data solutions.
What you will do
Own Net Revenue Retention across customer cohorts and segments and drive measurable revenue impact.
Analyze subscription, billing, product-usage, support, CRM, marketing, and customer-success data to identify churn risks and retention opportunities.
Extract, clean, analyze, and interpret retention data, including customer-success tickets, price sensitivity, and propensity indicators.
Develop, launch, monitor, and iterate customer-retention and churn-prevention programs.
Partner with Product, Sales, Customer Success and Support, Lifecycle Marketing, Contract Management, and Renewal Teams to translate insights into solutions.
Prepare recurring reports, create dashboards and visualizations, and present findings to senior leaders including the CEO, CRO, and SVPs.
Requirements
5+ years of experience in Strategy & Operations, Revenue Operations, Sales Operations, Sales Analytics, Data Analytics, or Consulting.
5+ years working with Sales and Revenue data, including extraction, analysis, and forecasting.
5+ years partnering with Sales organizations and delivering projects to them.
5+ years crafting presentations and communicating findings to VP-level and more senior audiences.
2+ years of experience in SaaS environments.
2+ years using SQL or SOQL to join subscription, billing, product-usage, support, CRM, marketing, and customer-success data.
2+ years using Python or R for data cleaning, feature engineering, statistical analysis, automation, and model development; Python experience with pandas, scikit-learn, XGBoost, or LightGBM.
2+ years working with a cloud data warehouse and CRM such as Redshift, BigQuery, or Salesforce.
Deep AI knowledge and hands-on experience using tools such as Claude Code, Cursor, Kiro, Gemini Enterprise, Vertex AI, or similar AI platforms for automation, advanced analytics, and operational efficiency.
Strong project-planning, problem-solving, critical-thinking, independent-working, presentation, and communication skills, including the ability to scope ambiguous projects, work with messy data, and tell a clear story with data.
Must be able to sit for long periods, handle extended screen time, and use reliable high-speed internet.
Nice to have
Project management certifications and experience creating detailed project plans with milestones and executing them.
A Bachelor’s degree in Business, Economics, Statistics, Math, Computer Science, or another relevant field.
Culture & Benefits
Fully remote work within the U.S. with up to 10% travel.
Annual performance bonus, ESPP, enhanced time-off packages, and benefits may be included in the total compensation package.
Work with a diverse, inclusive, and collaborative team focused on healthcare data transformation.
Visa sponsorship is not available.
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