Senior Data Analyst
ACT (Amsterdam - Acanthus), Netherlands
Applications have closed
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 E2E business lending journeys”. We empower entrepreneurs to stay a step ahead with easy, smart and personal business lending services. You will make the difference in Business Lending!
The Team
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.
Role & Responsibilities
- As our new Data Analyst at the Tribe Business Lending, you will play an important role in the data-driven culture supporting the digitalization of the loan origination, in life management and risk monitoring customer journeys.
- You will be responsible for creating and delivering valuable insights to support the Business Lending journeys and to improve the quality of our customer journeys.
- Your day-to-day job will consist of delivering analysis and insights to steer on the operational, sales and risk performance of Business Lending.
- Next to that you also work on finding solutions to make our lending journeys more data-driven.
- You organize the capturing of data into the data lake, act as a data steward, analyse and improve the data quality.
- You will be involved in data delivery for operational steering, product performance and regulatory reporting.
How to succeed
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:
- Master’s degree in Mathematics, Econometrics, Computer Science, Information Management, Statistics or alike, and/or equivalent experience of 1-3 year within data reporting & statistics
- To be analytical: extremely curious, constantly looking for an explanation; analysing sharply, concise & to the point
- Experience with tools such as SQL, SAS, Cognos, PowerBI are a plus
- Affinity or experience with Business Lending and Credit Risk Management
- To be able to influence and convince not only peers but also the stakeholders based on analytical results
- Good knowledge of English and if possible Dutch
Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. You can find out more about our employment conditions at https://www.ing.jobs/netherlands/Why-ING/benefits.htm
The benefits of working with us at ING include:
- A salary tailored to your qualities and experience within job scale 11
- A 36-hour working week, location Amsterdm but also working from home
- 24 vacation days
- 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
With 60,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues? Then there is no better place to invest your talents than at ING. Join us. Apply today.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Computer Science Credit risk Data Analytics Data quality Econometrics Finance Mathematics Power BI SAS SQL Statistics
Perks/benefits: Career development
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