Data Analyst II – Bank Mendes Gans

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profile Job Location:

Amsterdam - Netherlands

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Introduction
Bank Mendes Gans (BMG) exclusively engages in cash pooling and netting for multinationals. BMG allows corporate treasurers to maximize liquidity and gain control of all cash flows. We operate a bank-independent model and we handle most of the worlds convertible currencies. Our clients are supported with a high level of professionalism and superior client service. BMG is globally recognized as a specialized bank for liquidity and cash management services and part of ING Wholesale Banking the Transaction Services 2024 BMG legally merged with ING and kept its own branding and name.

Role & Responsibilities
We are looking for a Data specialist to play a key role across all BMG domains with particular focus on the Sales domain. Data AI and decisionmaking based on improved data dashboards are key priorities within BMG. Your expertise will contribute to making the most of our data and provide support & advice. As analyst you:

  • will collect analyze report on and generate insights from data to provide business users with robust evidence to support decisions. You use a variety of traditional and novel methods to provide critical data-driven insights.
  • make recommendations to improve data and analytics systems at BMG and Sales specifically contributing to the continuous improvement and refinement of data and our client strategy
  • will be linking Salesforce data into a BMG dashboard for improved pipeline management: prospect lead times success rates bottlenecks in BMG implementations opportunities. You quickly determine the most critical data and focus analysis there.
  • converting existing Excel models within Sales into smart sustainable datadriven solutions. Performing analyses and controls that directly improve processes and insights for the Sales organization (Value Reporter Vantage)
  • Contributing to Account Plans for deepsell opportunities with existing clients
  • take on new data and dashboarding opportunities and tough challenges with a sense of urgency high energy and enthusiasm
  • create new and better ways for the organization to be successful. You make sense of complex high quantity and sometimes contradictory information to effectively solve problems
  • successfully leverage the latest technologies to increase performance. Quickly embrace and master new technological advances adopted by BMG and ING
  • enhance KPI dashboards for BMG MT & their domains and People dashboards to help managers gain insights and support decisionmaking

BMG Culture

  • A professional and friendly working environment located in a beautiful historic building on the Herengracht in Amsterdam
  • A closeknit team centered around collegiality and knowledge sharing
  • An organization that values initiative and datadriven improvements
  • A balance between rich history and modern innovative solutions

How to Succeed
We hire talented people like you for your potential. We expect you to be curious take ownership and have a strong willingness to return we support your development.

Your Profile

  • WO/masters degree in data science/data analytics or similar
  • Approximately 1-3 years of relevant work experience
  • Strong experience with data analytics AI dashboarding
  • Affinity with Sales & sales processes preferably within ING
  • Experience in the financial sector (banking or Big 4) or ING is a plus
  • Available for 40 hours per week and comfortable with hybrid working (50/50)
  • A good understanding of the Dutch language and an affinity with Dutch culture are a plus

You also recognize yourself in the following characteristics:

  • Analytical and resultsdriven
  • Proactive and eager to learn
  • A team player with strong communication skills (Dutch and English)
  • Handson mentality and motivated to make processes smarter
  • Smart young professional with a masters degree

What We Offer

  • A dynamic and versatile role with room for personal contribution
  • Opportunities to further develop your data and AI skills
  • A professional supportive and closeknit working environment
  • A workplace in the heart of Amsterdam with hybrid working possibilities
  • Attractive employment conditions aligned with your experience

Rewards and benefits

We want to make sure that its 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 Benefits in the Netherlands

The benefits of working with us at ING include:

  • A salary tailored to your qualities and experience

  • 24-28 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

With 60000 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 whats possible and at the same time ensure you work with integrity and hold the customers 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.



Required Experience:

IC

IntroductionBank Mendes Gans (BMG) exclusively engages in cash pooling and netting for multinationals. BMG allows corporate treasurers to maximize liquidity and gain control of all cash flows. We operate a bank-independent model and we handle most of the worlds convertible currencies. Our clients ar...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

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