Data Analyst

**[**DATA ANALYST - Tribe Payments - Brussels** - GJA scale 15**]**:
Please note that a Learning Plan exists for this function. This is a training path that will allow you, if necessary, to develop and/or refine the skills needed to fully perform this function.

The dedicated Learning Plan is available here.

**Your role & work environment****:
As a Data Analyst at ING you will play a crucial role in the data-driven culture by supporting our products and services in Tribe Payments. You will be responsible to support the decision making process by delivering valuable insights to both your colleagues and our clients.

For this position you will join as a Data Analyst the Tribe Payments Here you will be part of an Agile environment by being a member of a multidisciplinary team of 8 to 9 professionals.

The Payments Tribe is composed of 4 domain areas: Payments, Cards, Merchant Solutions and a digital domain.

**Your key responsibilities**:
**Translating the business needs into an analytical request**:

- Hereby you will be discussing and challenging the needs and requirements with your stakeholders.
- While thinking along you already think a step further in terms of a feasibility analysis, setting realistic timelines, and cross-checking the data needs and availabilities.
- Based on this, you define a suitable approach and solution that fits the needs. These you communicate in a clear and transparent way to your stakeholders.
- _Getting to know all the data available, the different tools to query, visualize and analyse this data_
- _Executing an in-depth analysis on our customer data base to come up with answers to some specific questions or needs from the business_
- _Performing a customer behavior analysis or model_
- _Building models; e.g. propensity to buy, cluster, risk_
- _Defining the most relevant offers for our customers based on insights from our datamart_
- _Define the needs to improves data availability and quality_
- _Create some advances ad-hoc reporting for specific needs, using tools like Cognos and Adobe_
- _Perform some recurrent analysis and reporting_
- _Creating target groups for outbound customer communication; thinking about the right selection criteria, channels, offers, and A/B tests_
- _Be part of a project or project team and help them delivering based upon the data_

**After the analytical quest you communicate your insights and recommendations in an appropriate way to the stakeholders**:

- Adapting your storyline and message to the needs and context of your stakeholders.
- Communicating clear and on a convincing way your recommendations and next steps; while keeping aspects of GDPR, data sensitivity and confidentiality into account.

***We look for****:
A colleague with a** talent for taking it on and making it** **happen, **enthusiasm for** helping others to be successful **and a knack for always **being a step ahead**. In other words, you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment. You are a naturally collaborative person who listens and invests in others to achieve common goals. You love to challenge the status quo and are eager to propose creative solutions to problems.

As a Data Analyst you will also need to have following qualifications and competences:

- Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics or alike, and/or equivalent experience of 3 years
- 2 years relevant experience in data analytics
- Experience in SQL is a must
- Experience with tools such as SAS, Cognos or Adobe are a plus; an interest in these tools is a must
- Be a team player
- Be analytical: extremely curious, constantly looking for an explanation; analyzing sharply, concise & to the point
- Take ownership on tasks assigned: you will be cultivating analytics within the bank
- Be able to influence and convince not only peers but also the stakeholders based on analytical results
- Good knowledge of English and FR/NL

**We offer you****:
A clear purpose, a unique offer and a range of flexible compensation and other benefits:

- Personal growth & challenging work with endless opportunities to realise your ambitions
- An informal, dynamic environment with innovative colleagues supporting your endeavours
- A progressive and agile way of working, where new ideas are valued ahead of convention

Furthermore, within the Digital and Customer Interactions tribe as a Data Analyst, you can count on a range of opportunities to invest in your personal and professional growth with:

- Ample opportunities to participate in courses and trainings within the analytical domain
- Challenging, strategic and highly visible projects to support or take the lead in
- Personal coaching through our agile structure by the help of Agile coaches and Chapter leads
- An environment that stimulates continuous learning and improvement, and the possibility to experience over time multiple different aspects within data analytics

**W