Data Analyst (kyc)ING Business Shared Services B.V.

Job Description
DATA ANALYST
Your role and work environment
You will be Data Analyst assigned to support Global KYC, which is a relatively new organization in which all KYC related capabilities are combined into a functionally steered organization. This with the aim to maintain and improve the effective & efficient management of ING's AML/Financial Economic Crime (FEC) risks, a.o. by establishing standardized guidance, processes, technology and shared operational processing.
The CDD and KYC Control domain ensures that ING has a state-of-the-art CDD practice in place, is effectively and efficiently managing the CDD risk and operations and the overall KYC Retail and Wholesale risk across countries to improve both effectiveness and efficiency. It includes definition of the CDD Target Operating Model, in a way to comprise all AML/ KYC related policies and implement this as a global standard across the world, the oversight of the bank wide CDD business as usual (BAU) activities, including operational execution across Retail and Wholesale (service ownership). Within that domain, the CDD Business Intelligence & Operational Management lead is responsible for the CDD Service management activities, Management information and defining a long-term vision, strategy & solution on data & MI.
The data analysts are part of the of the team of the Global CDD Business Intelligence & Operational Management lead, who reports into the CDD Operations Legal Entities lead and with a dotted line into the CDD Operations Private Individuals Lead.
As a Data Analyst you'll be responsible for activities that support the creation of dashboards and reports and the analysis of data in support of decision making. It has a key role in supporting the ING's global data management strategy and is focused on providing business insights through the analysis of data across the bank.
Your key responsibilities
As Data Analyst:
Management information on production, quality, recruitment pipeline, realization of efficiency ambitions, centralization to enable operational management and steering
Operational management & steering information as input to (senior) management
Capacity planning for ING Hubs locations and for in-country operations
Define & execute long term vision and approach (incl strategic operational MI solutions) for shared cockpit servicing all client types and segments in order to move away from tactical solutions (Excel/Access based reporting solutions) into a more robust, advanced and future proof reporting solution
Drive (fact-based) decision making on all levels (strategical, tactical, and operational). This means for instance performing analysis from overall ING-perspective and provide scenarios to decision makers
You analyse complex Data issues that go beyond squad and/or tribe boundaries, with a view to designing complete solutions.
You collect relevant data, analyse and report. You clean up and process raw data, correlate different types of data and are able to recognize patterns.
You interpret data, analyse results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality.
You work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyse it to find conclusions. This by data-mining activities, in-depth data analysis, validating by combining and interpreting data.
We are looking for an energetic and driven expert with passion for data (management) and with strong analytical capabilities who uses state-of-the-art methods and techniques for data analysis. You have integral, domain-exceeding knowledge Data Analysis in one or more areas of the banking business.
You are an excellent communicator and able to build bridges between different stakeholders. You are able to convincingly put forward your proposals and are a real team player in reaching broad agreement on the road to follow. In this way, you can contribute to delivering standardised, uniform and fully adapted solutions to complex business issues and processes.
Skillset:
You have a college degree in e.g. Mathematics, Computer/Data Science, Information Management or Statistics
You have integral, cross-domain knowledge and experience
Attention to Detail: Data is precise. You make sure you are vigilant in your analysis to come to correct conclusions
You are a strong communicator and are able to present your analyses in a clear manner
Excellent English written and verbal communication skills
You have knowledge of and experience in Data Analysis in the financial services industry
You can create your impactful Data story via report and/or dashboard in Power BI or Cognos.
Basic skills in Python or R is good to have.
You actively keep up your professional knowledge and translate external trends into applicable knowledge
You take responsibility to get the work done
You actively ask for help and feedback and are not afraid to give feedback
You easily adapt to a new environment