AMI Interim Knowhow
Meer details

Business Data Modeler

Nieuw

Locatie

Amsterdam

Opdrachtgever

ABN AMRO Bank Amsterdam

Contactpersoon

Anouk van de Loo
M: (06) 2876 6485

Delen

Functie omschrijving

Voor mijn opdrachtgever ABN Amro Bank ben ik op zoek naar een Business Data Modeler.

Neem gerust contact op voor aanvullende informatie, ik vertel je graag meer!

Do you want to be part of developing the next generation of customer experience in banking based on data?

Every step in the customer journey should be a fantastic experience. Proactive communication, personal messaging and real time relevant content will be largely based on data. Data is one of the key assets of our bank. The bank is rappidly changing to a digital environment and creating a huge amount of relevant data. This gives an opportunity to use this data in our marketing automation stack and be the innovative company we want to be. For this challenge, we are looking for an ambitious business data modeler who is capable of delivering the required data for marketing automation solutions and (self-service) BI. Are you a teamplayer who loves to help deliver a trustworthy data environment that delivers value, than please be in touch!

Your job

As a business data modeler at the Center of Expertise Advanced Analytics and Data you work closely with various department within Customer & Digital Experience and centralized IT departments. You are the starting point for the creation of data attributes that we need to deliver value. You translate business needs into data requirements, organize the needed sources and together with data engineers you deliver the data for usage.
As a business data modeler you are able to translate business needs; conduct analysis on various data sources; translate the needs into (requirements for) the conceptual/business data model; use centrally provided data management processes; set up definitions and meta data; define requirements for logical and fysical data model; provide input (e.g. parts of the code) for data engineers; review the delivery by the data engineers.

The team (s)

You are part of an agile delivery team staffed from business and IT. Together with 4-6 business data modelers and 4 -6 data engineers (IT) you are responsible in delivering data attributes and solutions. This starts with development and goes all the way to day to day delivery of high quality data. The responsibility of the data engineers is on the (fysical) delivery of the data (e.g. running data pipelines). The team is supported by a Product Owner and a Scrum Master. A central IT teams provides the necessary capabilities to run and develop the platform on Azure.
You represent the business in the delivery and therefore hierarchically you report to the teamlead Data & Optimization who is part of the management team of the Center of Expertise Adavanced Analytics & Data.

Jouw profiel

We need you as a business data modeler to help us grow and mature as a data driven organization that continuously delivers value. You have a proven business and/or marketing acumen and are able to translate business requirements into deliverables and set priorities accordingly. You are naturally curious and eager to learn new technologies and tools. In addition, you are result driven and have an agile approach. We look for people who like to work on the data fundament and provide trust in our data.
The environment
From Tikkie to personalized mobile advertising and a chatbot that really matters. At this place people work on the successful banking app as well as Grip. Here you find our E-Commerce teams and our colleagues of ‘Video Banking’. In short, within Customer & Digital Experience the online platforms are being created and built that offer all the digital products of ABN AMRO Retail. All of these developments and products are powered by the data & analytics of the Center of Expertise Advanced Analytics & Data (CoE AA&D). Next to the Data & Optimization team you find a Data Science team and a BI & analytics team

The profile

You are up to date with the latest developments in data. . The job requires excellent analytical skills and an eye for detail. Considering the multi-disciplinary teams, being a true team-player is essential. You are structured, can inspire others to be likewise and have a sense of humor. Do you think you fit the bill?
Required qualifications:

  • Able to effectively communicate (in written and spoken English) about your analysis and requirements;
  • Bachelor’s degree or higher from an accredited university or college in computer science, Data or Business Analytics;
  • Minimum of two years’ experience in a financial institute or analytical online marketing profession;
  • Strong analytic skills and affinity with data analytics, (pre)processing, and data handling;
  • Knowledge of and experience in programming (TSQL, Python, PySpark, R)
  • Knowledge of and experience of structured and unstructured data,
  • Knowledge of and experience with batch, streaming and API
  • Knowledge of and experience with data management, data governance, DQ, meta data preferably at at a financial institute and/or a digital environment
  • Pro-active attitude and an excellent team player.
  • Experience with data management and analytics in a cloud environment is a plus. Experience with (Azure SQL Database, Azure SQL Data warehouse, Azure Datafactory) is aplus
  • Experience with Marketing Automation, campaign management and/or Self-Service Business Intelligence is a plus (e.g. Selligent, Adobe, SAS) and/ or BI tooling (e.g. Power BI, DataBricks, Splunk, Tableau.

Arbeidsvoorwaarden

• Zij bieden je de vrijheid om het beste uit jezelf te halen, flexibel te werken en veel ruimte om te groeien
• Zij helpen je om fit & vitaal te blijven
• Een aanvullend benefit budget van 11%, waarmee je flexibel arbeidsvoorwaarden kunt kopen
• Een persoonlijk ontwikkelbudget van € 1.000 per jaar
• Een OV-jaarabonnement of vervoersbudget, afhankelijk van de functie
• Een goede pensioenregeling.
AMI Interim Knowhow gebruikt cookies om bepaalde voorkeuren te onthouden en vacatures af te stemmen op je interesses.