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3 дня назад

Chapter Lead Data Analysis I Growth Tribe @ING Bank (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Romania
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
Chapter Lead Data Analysis I Growth Tribe @ING Bank (Fintech): Leading Data Analysts and delivering actionable insights, dashboards, experimentation support, and campaign performance analyses for customer acquisition, onboarding, engagement, and digital journeys with an accent on people leadership, analytical quality, and business impact. Focus on coaching analysts, standardizing campaign evaluation, solving complex customer and performance questions, and translating data into clear decisions for Growth stakeholders.

Location: Hybrid at Expo Business Park, ING Bank Romania, with a flexible working schedule and short-week options.

Company

ING Bank Romania is a universal bank serving more than 2 million retail, SME, mid-corporate, and wholesale customers, with technology and innovation at the core of its products.

What you will do

  • Lead, coach, and develop Data Analysts supporting Acquisition, Development & Engagement, and Martech within the Growth tribe.
  • Guide the preparation and analysis of large datasets for customer, digital journey, campaign, funnel, and product performance insights.
  • Drive deep-dive, root-cause, segmentation, campaign, dashboard, and KPI analyses that improve business decisions.
  • Standardize and reuse analytical scripts so campaign performance evaluations are updated daily.
  • Align definitions, data structures, measurement logic, and analytical objectives across squads and business domains.
  • Communicate complex analytical topics, assumptions, limitations, and recommendations to Product Owners, Customer Journey Experts, campaign teams, and other stakeholders.

Requirements

  • Strong experience in data analysis, business intelligence, analytics, or another data-heavy role.
  • Solid knowledge of data exploration, KPI design, segmentation, funnel analysis, campaign analysis, dashboarding, and insight generation.
  • Practical experience with SAS, Python, SQL, and BI tools such as Cognos, SAS, or QlikView.
  • Experience coaching, developing, motivating, and evaluating analysts with different levels of seniority.
  • Strong communication, problem-solving, stakeholder management, customer focus, and ability to work with ambiguity.
  • Commitment to responsible data use, clear documentation, high standards, continuous improvement, and AI literacy.

Nice to have

  • Experience in retail banking, digital analytics, customer analytics, or marketing performance.
  • Knowledge of customer lifecycle, acquisition, onboarding, engagement, digital performance, marketing, or product performance.

Culture & Benefits

  • Collaborative, respectful environment focused on curiosity, autonomy, continuous improvement, and excellence.
  • Hybrid work with a flexible schedule and short-week options.
  • Monthly benefits-platform budget and additional annual leave based on total work experience.
  • Upskilling and reskilling through ING Learning Centre, Udemy, Bookster, trainings, and certifications.
  • Access to internal roles and international short- and long-term assignments.
  • Corporate events, social gatherings, open-concept offices, and opportunities to contribute to sustainability and CSR projects.

Hiring process

  • Submit an application through the official ING careers platform using Workday.
  • ING does not request payments or banking details during recruitment.

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