pythonsqlteam leadershippaymentspredictive modelingcustomer segmentationcommercial analyticstest and learn
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$121к$150кмедиана$169к
50 в выборке
83
Хорошая вакансия
развернуть
Зона ответственности руководителя и бизнес-задачи в аналитике описаны четко, но работа только из офиса в Цинциннати и отсутствие визового спонсорства ограничивают доступность вакансии.
Только офис
Без визовой поддержки
Понятная зона ответственности
Финтех-направление
Современный стек
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analytics Manager (Payments): Leading portfolio analytics for the Global SMB team, using customer segmentation, predictive modeling, test-and-learn programs, and SQL/Python analysis to improve customer value, adoption, retention, and revenue with an accent on commercial analytics and team development. Focus on translating business challenges into analytical strategies, guiding scalable data solutions, and reducing attrition and dormancy through optimization.
Location: Cincinnati, Ohio; candidates must be legally authorized to work for any employer in the United States without current or future immigration sponsorship.
Company
hirify.global operates in hirify.global and commerce, supporting small and medium-sized business customers.
What you will do
Lead, develop, and inspire an analytics team by setting priorities, building capabilities, coaching talent, and managing performance.
Set the analytics strategy and roadmap for the existing customer portfolio to improve customer value, product adoption, engagement, retention, and revenue.
Guide customer segmentation, predictive modeling, test-and-learn programs, and optimization strategies for cross-selling, retention, dormancy reactivation, and attrition reduction.
Partner with senior business leaders to translate commercial challenges into analytical priorities, strategies, and measurable recommendations.
Oversee the quality, scalability, automation, and effectiveness of analytical work using transactional and financial data, SQL, and Python.
Requirements
Proven experience leading and developing analytics teams, including setting priorities, managing performance, coaching talent, and building analytical capabilities.
Strong commercial analytics experience focused on customer value optimization, cross-selling, retention, and engagement, ideally in payments, financial services, or an SME environment.
Experience partnering with senior stakeholders to define business problems, shape analytical solutions, and translate insights into measurable commercial outcomes.
Strong understanding of advanced analytics, including SQL, Python, segmentation, predictive modeling, and test-and-learn methodologies; ability to direct and challenge technical approaches rather than personally execute every analysis.
Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Finance, or a related discipline.
Entrepreneurial mindset, comfort in a fast-paced environment, strong execution across multiple priorities, and ability to build cross-business partnerships.
Nice to have
Experience leading teams working with Snowflake, APIs, and modern data platforms.
Experience integrating data and analytics solutions with Salesforce CRM.
Knowledge of the payments industry, small and medium-sized businesses, and existing-customer management strategies.
Culture & Benefits
Inclusive, global teams focused on collaboration, curiosity, innovation, accountability, and shared outcomes.
People leaders are expected to create clarity, empower decisions, and build strong partnerships across the business.
hirify.global is an equal opportunity employer and provides reasonable accommodations during hiring and employment.
Conditional offers for work in the United States require a drug test.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →