Data Analyst Migrations Business Lending

2 dagen geleden

Amsterdam, Nederland ING Voltijd

Do you have 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? Do you strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment? Are you a naturally collaborative person who listens and invests in others to achieve common goals, who challenges the status quo and is eager to propose creative solutions to problems? Then you are the perfect new colleague we are looking for

**Roles and responsibilities**

As a Data Analyst Migrations at the Tribe Business Lending, you will play an important role in system migrations impacting our data environment, this helps ING comply with the latest standards and accelerated digitization. You will analyze how and where the migration will impact our DataMart and the linked reports (PowerBI/Cognos). You will create data mapping from the old to the new system. You will align with the project team responsible for the migration and with the data engineers who will perform the changes in the DataMart. You will prepare queries together with the data engineers and you are responsible for testing the output. Next to this you will be responsible for performing changes to the impacted reports.

**Your work environment**

As a Data Analyst, you will be part of the Tribe Business Lending Netherlands. In scope are business lending customers from Self-employed to Mid Corporate, and Private Banking mainly for Commercial Real Estate. You support our purpose: “Focus on easy, smart and personal End-to-End business lending journeys”. We empower entrepreneurs to stay a step ahead with easy, smart and personal business lending services. You will be working in an Agile environment by being a member of a multidisciplinary team of 8 to 9 specialists. Your colleagues will have a background in Process management, IT, Data Analytics/Management in the business and risk domain. You work closely with the colleagues from Sales, Pricing, Operations, Credit Risk and Finance.

**How to succeed**

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

We are looking for a colleague who is organized, is good at keeping the overview and can easily see connections. You are good at performing analysis to be able to set the right requirements. You have an eye for detail and are good in documentation. You like working in a team and aren’t afraid of complex environments.

As a Data Analyst, you will also need:

- Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, Statistics or alike, and/ or equivalent experience of 3-5 years within data reporting & statistics.
- You are analytically strong and are a star in assessing and solving problems, making analyses, and sharing results with impact
- You have experience with querying languages (e.g., SQL, SAS), dashboarding tooling (e.g., Cognos and PowerBI), data mapping and preferably with data migrations
- Affinity or experience with data migrations
- Communicatively strong, team player and taking initiative and ownership
- English (verbal and written) and hold current residency in the Netherlands. Dutch language knowledge is a pre

**Rewards and benefits**

The benefits of working with us at ING include:

- A salary tailored to your qualities and experience
- 24-27 vacation days depending on contract
- Pension scheme
- 13th month salary
- Individual Savings Contribution (BIS), 3.5% of your gross annual salary
- 8% Holiday payment
- Hybrid working to blend home working for focus and office working for collaboration and co-creation
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues

**About us**

**Questions?**

Please note, multiple interview steps involving various business stakeholders will be part of the selection process.

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