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3 часа назад

Senior Data Analyst (Portfolio Analytics)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst (Portfolio Analytics) (Python/SQL): Building customer segmentation, predictive models, and automated analytical workflows to improve product adoption, retention, engagement, and revenue across existing payments customers with an accent on commercial analytics, transactional data, and test-and-learn programs. Focus on designing cross-sell and attrition-reduction strategies, measuring incremental impact, and translating complex data into actionable commercial decisions.

Location: Cincinnati, Ohio; the role is also stated to be based in the London hub. Candidates must be legally authorized to work full-time in the United States without current or future immigration sponsorship.

Company

hirify.global provides payment and commerce solutions, with the Global SMB team using advanced analytics and commercial optimization to improve existing-customer value.

What you will do

  • Use advanced analytics to increase customer value, product adoption, engagement, and revenue across the existing customer portfolio.
  • Design customer segmentation, contact strategies, predictive models, and test-and-learn programs for cross-selling, retention, dormancy reactivation, and attrition reduction.
  • Analyze transactional and financial data and assess internal and external data sources to improve propensity, dormancy, and service-action models.
  • Partner with Service and Relationship Management teams to understand customer journeys, improve conversion, and turn insights into commercial strategies.
  • Develop automated Python- and SQL-based workflows for data preparation, modeling, campaign execution, and performance measurement.

Requirements

  • Proven commercial analytics experience focused on customer value optimization, cross-selling, retention, and engagement, ideally in payments, financial services, or an SME environment.
  • Advanced SQL and Python skills, including complex dataset preparation, analytical modeling, and workflow automation.
  • Experience designing test-and-learn frameworks, measuring incremental impact, and using results to guide commercial decisions.
  • Strong analytical and problem-solving skills, with experience translating complex data into measurable business outcomes and clear stakeholder recommendations.
  • Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Finance, or a related discipline.

Nice to have

  • Experience with Snowflake and application programming interfaces (APIs).
  • Experience integrating data solutions with Salesforce CRM.
  • Knowledge of the payments industry, small and medium-sized businesses, and existing-customer management strategies.

Culture & Benefits

  • Work with global teams and collaborate across teams and offices worldwide.
  • Entrepreneurial, fast-paced environment focused on execution across multiple priorities.
  • Culture built around client focus, ownership, teamwork, curiosity, innovation, and accountable decision-making.
  • Inclusive equal-opportunity workplace with reasonable accommodations during hiring and employment.
  • Visa sponsorship is unavailable; United States-based employment requires a drug test after a conditional offer.

Hiring process

  • Submit an application for consideration; qualified applicants are evaluated without regard to protected characteristics.

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