Chapter Lead Data Analysis I - Growth Tribe

About the role

ING Bank is looking for a Chapter Lead Data Analysis I to lead a team of Data Analysts in the Growth tribe, supporting Acquisition, Development & Engagement and Martech. The role combines data analysis expertise with people leadership: about 40% of the time leads the chapter and 60% takes part in the Servicing Squad. It is based in an Agile way of working.

Key responsibilities

• Lead, coach and develop Data Analysts, set expectations, give regular feedback and create development plans aligned with role seniority and business needs
• Support performance management through continuous conversations and fair evaluation input
• Guide analysts in gathering, preparing and analysing large datasets to support Growth strategies across acquisition, onboarding, engagement, digital channels and customer journeys
• Drive deep-dive analyses, root-cause analysis, segmentation, campaign analysis, product evaluations and funnel performance analysis
• Turn data into recommendations that improve customer understanding, campaign effectiveness and business decisions, including direct marketing target group selection
• Update campaign performance evaluations daily using standardised analytical scripts and increase transparency for Growth initiatives
• Partner with Growth stakeholders, Product Owners, Customer Journey Experts and campaign teams, aligning definitions, data structures and measurement logic

Required profile

• Strong experience in data analysis, business intelligence or analytics, preferably in retail banking, digital, customer analytics or marketing performance
• Solid understanding of data exploration, KPI design, segmentation, funnel analysis, campaign analysis, dashboarding and insight generation
• Proven experience with data analysis tools (SAS, Python, SQL) and BI tools (Cognos, QlikView)
• Leadership: coaching and motivating analysts at different seniorities, explaining complex data topics clearly
• Curious, pragmatic, comfortable with ambiguity, and focused on both people growth and business impact

Required skills

• Data analysis and business intelligence
• SAS analytical package, Python, SQL
• BI tools such as Cognos and QlikView
• Understanding of customer lifecycle, acquisition, onboarding, engagement and digital performance is a strong plus

What we offer

• Impactful work in a collaborative environment with open-concept offices
• Hybrid way of working with a flexible schedule and short-week options
• Monthly benefit budget, extra annual leave days depending on experience, and corporate events
• Growth opportunities through upskilling and learning platforms (ING Learning Centre, Udemy, Bookster)
• Access to internal roles, short- and long-term assignments, and sustainability projects