Senior Data Analyst

Details

Are you passionate about both advanced analytics and empowering others to grow in their analytical capabilities? Do you have the expertise to lead by example while fostering a culture of statistical thinking? Channel Security is seeking a Senior Data Analyst to join our Fraud Monitoring team. You will be a technical expert and strong individual contributor who also helps advance the analytics maturity of a business-driven team, serving as a pillar for analytics standards and shaping how data is used to make impactful decisions.

Responsibilities

• Conduct hands-on data analysis to support business-as-usual activities, track departmental KPIs, and develop new insights into fraud patterns across payment channels (phishing, account takeover, lost/stolen debit cards, e-commerce fraud, etc.).
• Dive into diverse and complex datasets to extract actionable insights, assess data field potential for detection improvements, recognise seasonal patterns, and create reliable forecasts.
• Partner with fraud experts, data scientists, and machine learning engineers to translate insights into hypotheses and experiments to improve fraud detection.
• Design and deliver training sessions, workshops, and one-on-one coaching to enhance analytical skills across the team; mentor colleagues to adopt statistical rigor.
• Partner with leadership to identify opportunities for leveraging data to achieve strategic goals.
• Proactively drive improvements in analytics, including reporting, dashboarding, and data-driven decision making.

Requirements

Qualifications

• Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Econometrics, Engineering, Physics, Mathematics, or similar).
• At least 3 years’ experience as a Data Analyst or in a similar role.
• Excellent written and verbal communication skills in English.
• Ability to work independently and as part of a team.

Technical skills & experience

• SQL (must have).
• Python (must have).
• Experience with Databricks / Snowflake or other cloud analytics environments.
• Experience with MS Power BI, Tableau, or Google Looker.
• Experience with PySpark and Apache Hive.
• Exposure to No-SQL technologies (e.g., MongoDB, ElasticSearch).
• Experience applying statistical techniques to real-world business problems.
• Familiarity with Agile and Scrum methodologies.

Personal qualities

• Proactive self-starter who looks for insightful analysis opportunities.
• Strong mentoring and teaching orientation, passionate about upskilling colleagues.
• Problem solver who maintains accuracy and thoroughness in documentation and analysis.

Working environment

• Team: Grid Channel Security within Corporate Information Security Office (CISO), Fraud Monitoring team (~25 colleagues), multidisciplinary and motivated, focused on protecting customers.
• Way of working: hybrid; day-to-day organised using agile and scrum principles; informal atmosphere with collaborative culture.

Benefits

• Industry-competitive salary based on a 36 or 40-hour work week.
• Salary range: €5.112 - €7.303 per month.
• Supplementary benefit budget of 11% (pre-tax fringe benefits).
• Personal development budget of EUR 1.000 per year.
• Annual public transportation pass.
• Solid pension plan.
• Flexibility in a hybrid work environment supporting work-life balance.

Application

If this opportunity interests you, please send your application as soon as possible. ABN AMRO is an equal-opportunity employer that values diversity, inclusivity and sustainability. If you want to apply for the B-Able or Reboot program, mention it in the title and content of your resume.